{"id":2975,"date":"2020-12-30T17:01:30","date_gmt":"2020-12-30T09:01:30","guid":{"rendered":"https:\/\/deptweb.cycu.edu.tw\/erc\/?page_id=2975"},"modified":"2021-01-12T14:41:32","modified_gmt":"2021-01-12T06:41:32","slug":"%e7%a0%94%e7%a9%b6%e7%94%9f","status":"publish","type":"page","link":"https:\/\/deptweb.cycu.edu.tw\/erc\/?page_id=2975","title":{"rendered":"\u7814\u7a76\u751f\u8ad6\u6587"},"content":{"rendered":"\t\t
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\n\n\n\n\t\n\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t\n\t
\u7562\u696d\u5e74\u4efd<\/th>\u59d3 \u540d<\/th>\u8ad6\u6587\u984c\u76ee\u8207\u570b\u969b\u671f\u520a\u767c\u8868\u984c\u76ee<\/th>\u570b \u7c4d<\/th>\n<\/tr>\n<\/thead>\n
2026<\/td>\u8a31\u54f2\u7dad<\/td>\u8003\u616e\u518d\u751f\u80fd\u6e90\u4e0d\u78ba\u5b9a\u6027\u4e4b\u975e\u7279\u6027\u904e\u96fb\u6d41\u4fdd\u8b77\u5354\u8abf\u6700\u4f73\u5316\u65b9\u6cd5
\nAn Optimal Coordination Protection Method for Non-Characteristic Overcurrent Relays Considering Renewable Energy Uncertainty
\n<\/td>		<\/td>\n<\/tr>\n
2025<\/td>\u738b\u7fd4\u65fb<\/td>\u61c9\u7528\u6a21\u7cca\u512a\u5316\u65bc\u8f14\u52a9\u670d\u52d9\u5e02\u5834\u4e0b\u4e4b\u865b\u64ec\u96fb\u5ee0\u96fb\u529b\u6392\u7a0b\u7814\u7a76
\nStudy on Virtual Power Plant Power Scheduling in Ancillary Services Market Using Fuzzy Optimization<\/td>		<\/td>\n<\/tr>\n
2024<\/td>\u827e\u4fd0\u5b89<\/td>\u57fa\u65bc\u7279\u5fb5\u6a19\u8a18\u5668\u8207\u8b8a\u63db\u5668\u67b6\u69cb\u7684\u96fb\u529b\u7cfb\u7d71\u72c0\u614b\u4f30\u6e2c\u6cd5
\nFeature Tokenizer Transformer-Based State Estimator in Power Systems
\n<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2024<\/td>\u51e1\u5e0c\u51f1<\/td>\u57fa\u65bc\u5340\u584a\u93c8\u4e4b\u4e92\u806f\u5fae\u96fb\u7db2\u63a7\u5236\u7b56\u7565
\nBlockchain-based Control Strategies for Networked Microgrids
\n<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2024<\/td>\u6d2a\u65e6\u59ae
\n<\/td>		\u6df7\u5408\u91cf\u5b50\u96fb\u529b\u6f6e\u6d41\u5206\u6790\u4f7f\u7528\u5e36\u6709\u52d5\u614b\u81ea\u9069\u61c9 Ansatz\u6f14\u5316\u7684\u8b8a\u5206\u91cf\u5b50\u6c42\u89e3\u5668
\nHybrid Quantum Power in Department of Electrical Engineering<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2023<\/td>\u9ec3\u66c9\u7b51<\/td>\u6f14\u5316\u7684\u8b8a\u5206\u91cf\u5b50\u6c42\u89e3\u5668<\/td><\/td>\n<\/tr>\n
2023<\/td>\u738b\u5f65\u7a0b<\/td>\u57fa\u65bc\u6df1\u5ea6\u5b78\u7fd2\u4e4b\u96fb\u529b\u7cfb\u7d71\u72c0\u614b\u4f30\u6e2c
\nPower System State Estimation Based on Deep Learning<\/td>		<\/td>\n<\/tr>\n
2023<\/td>\u9673\u7acb\u51e1<\/td>\u4ee5\u7dca\u6e4a\u578b\u5377\u7a4d\u8b8a\u63db\u6a21\u578b\u9032\u884c\u592a\u967d\u5149\u96fb\u6545\u969c\u5206\u985e
\nClassification of PV Faults Using Compact Convolutional Transformers<\/td>		<\/td>\n<\/tr>\n
2023<\/td>\u6d2a\u51e1\u5e0c<\/td>\u5927\u578b\u96fb\u529b\u7cfb\u7d71\u548c\u4e92\u806f\u5fae\u96fb\u7db2\u7684\u6a5f\u7d44\u8abf\u6d3e
\nUnit Commitment for Large-scale Power System and Networked Microgrid<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2023<\/td>\u6d2a\u5b50\u9038<\/td>\u901a\u904e\u6df1\u5ea6\u5b78\u7fd2\u548c\u5e36\u6709LoRa\u901a\u77e5\u7cfb\u7d71\u7684\u6578\u4f4d\u5b7f\u751f\u9032\u884c\u5149\u4f0f\u6545\u969c\u8a3a\u65b7
\nPhotovoltaic Fault Diagnosis through Deep Learning and Digital Twin with LoRa Notification System<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2023<\/td>\u6d2a\u5a55\u4f0a<\/td>\u61c9\u7528\u7c92\u5b50\u7fa4\u7b97\u6cd5\u512a\u5316\u65bc\u91cf\u5b50\u548c\u6b98\u5dee\u9577\u77ed\u671f\u8a18\u61b6\u6df7\u5408\u6a21\u578b\u7684\u65e5\u524d\u6642\u7a7a\u98a8\u901f\u9810\u6e2c
\nDay-Ahead Spatiotemporal Wind Speed Forecasting Based on a Hybrid Model of Quantum and Residual Long Short-Term Memory Optimized by Particle Swarm Algorithm<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2023<\/td>\u6d2a\u7d72\u5a77
\n<\/td>		\u4ee5\u5f37\u5065\u6df7\u548c\u53e4\u5178\u548c\u91cf\u5b50\u6a21\u578b\u9032\u884c\u77ed\u671f\u98a8\u901f\u9810\u6e2c
\nA Robust Hybrid Classical and Quantum Model for Short-Term Wind Speed Forecasting<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2022<\/td>\u8a79\u4e8e\u8431<\/td>\u57fa\u65bc\u7c92\u5b50\u7fa4\u6700\u4f73\u5316\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u9032\u884c\u77ed\u671f\u8ca0\u8f09\u9810\u6e2c
\nShort-Term Load Forecasting Using Particle Swarm Optimization-based Convolutional Neural Network<\/td>		<\/td>\n<\/tr>\n
2022<\/td>\u6e38\u6674\u5e43<\/td>\u542b\u5206\u6563\u5f0f\u96fb\u6e90\u4e4b\u4fdd\u8b77\u5354\u8abf\u5206\u6790\u7814\u7a76
\nA Study on Protection and Coordination in Feeders Involving Distributed Generation<\/td>		<\/td>\n<\/tr>\n
2022<\/td>\u767d\u921e\u7693<\/td>\u5229\u7528\u57fa\u65bc\u6df1\u5ea6\u5b78\u7fd2\u7684\u4e09\u76f8\u9006\u8b8a\u5668\u9032\u884c\u865b\u529f\u88dc\u511f
\nDeep Learning-based Three-phase Inverter for VAR Compensation<\/td>		<\/td>\n<\/tr>\n
2022<\/td>\u90b1\u54c1\u8aa0<\/td>\u884c\u8eca\u99d5\u99db\u4eba\u778c\u7761\u5075\u6e2c\u8207\u5d4c\u5165\u5f0f\u7cfb\u7d71\u5be6\u73fe
\nThe Detection of Drowsiness by Drivers and the Implementation of Embedded System<\/td>		<\/td>\n<\/tr>\n
2021<\/td>\u6234 \u6377<\/td>\u8003\u616e\u4e0d\u78ba\u5b9a\u6027\u4e4b\u96fb\u529b\u7cfb\u7d71\u6a5f\u7d44\u8abf\u6d3e
\nUnit Commitment in Power System Considering Uncertainty
\n<\/td>		<\/td>\n<\/tr>\n
2021<\/td>\u4f55\u8070\u8ce2<\/td>\u5851\u81a0\u518d\u88fd\u5ee0\u96fb\u529b\u7cfb\u7d71\u8ae7\u6ce2\u5206\u6790\u8207\u6539\u5584
\nAnalysis and Mitigation of Harmonic in Power System of Plastic Reproduction Factory
\n<\/td>		<\/td>\n<\/tr>\n
2021<\/td>\u9b4f\u5bec\u69ae
\n<\/td>		\u767c\u96fb\u5ee0\u8b8a\u96fb\u6240\u914d\u96fb\u76e4\u4e4b\u9078\u7528\u8a55\u4f30
\nEvaluation of Usage of Distribution Board at Substation of Power Plant<\/td>		<\/td>\n<\/tr>\n
2020<\/td>John Joel Martinez<\/td>Day-ahead Solar Irradiance Forecasting Utilizing Gramian Angular Field and Convolutional Long Short-term Memory(SCI)<\/td>\u83f2\u5f8b\u8cd3TIP\u4ea4\u63db\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2020<\/td>Jonathan V. Taylar<\/td>Locational Marginal Price Forecasting using Deep Learning Network Optimized by Mapping-based Genetic Algorithm(SCI)<\/td>\u83f2\u5f8b\u8cd3TIP\u4ea4\u63db\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2020<\/td>\u912d\u96cd\u701a<\/td>\u61c9\u7528\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u9032\u884c\u96fb\u529b\u7cfb\u7d71\u5c16\u5cf0\u8ca0\u8f09\u9810\u6e2c<\/td><\/td>\n<\/tr>\n
2020<\/td>\u5433\u6649\u6bc5<\/td>\u61c9\u7528\u99ac\u53ef\u592b\u6a21\u578b\u5206\u6790\u518d\u751f\u80fd\u6e90\u8207\u5132\u80fd\u4f75\u7db2\u5c0d\u96fb\u529b\u7cfb\u7d71\u53ef\u9760\u5ea6\u5f71\u97ff<\/td><\/td>\n<\/tr>\n
2020<\/td>\u937e\u93ae\u5e74<\/td>\u8003\u616e\u5931\u8f09\u7387\u9650\u5236\u4e4b\u6700\u4f73\u96fb\u529b\u7cfb\u7d71\u6a5f\u7d44\u8abf\u6d3e<\/td><\/td>\n<\/tr>\n
2020<\/td>\u962e\u5b5f\u4fca<\/td>\u7530\u53e3\u6cd5\u5728\u98a8\u96fb\u9ad8\u5360\u6bd4\u96fb\u529b\u7cfb\u7d71\u904b\u8f49\u8207\u63a7\u5236\u4e4b\u61c9\u7528
\nOptimal Design of IT2-FCS-based STATCOM Controller Applied to Power System with Wind Farms Using Taguchi Method
\nMultiobjective Multiscenario Under-frequency Load Shedding in a Standalone Power System<\/td>		\u8d8a\u5357\u570b\u969b\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2020<\/td>\u99ac\u857e\u9814<\/td>2025\u5e74\u53f0\u7063\u96fb\u529b\u7cfb\u7d71\u53ef\u518d\u751f\u80fd\u6e90\u8207\u5132\u80fd\u7cfb\u7d71\u7684\u7d93\u6fdf\u5206\u6790<\/td>\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2020<\/td>\u9112\u5091\u608d<\/td>\u4ee5\u96f6\u96fb\u58d3\u904e\u6e21\u5347\u58d3\u8f49\u63db\u5668\u8a2d\u8a08\u9032\u884c\u6d6e\u52d5\u5149\u4f0f\u677f\u4fef\u4ef0\u904b\u52d5\u7684\u6700\u5927\u529f\u7387\u9ede\u8ffd\u8e64<\/td>\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2020<\/td>\u674e\u777f\u71c1<\/td>Design of Synchronous Generator Using Taguchi-based Multi-Objective Optimization(SCI)<\/td>\u54c8\u5de5\u7a0b\u4ea4\u63db\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2019<\/td>\u9673\u5fd7\u660e<\/td>\u7b56\u7565\u6027\u964d\u58d3\u904b\u8f49\u4e4b\u6210\u6548\u5206\u6790-\u4ee5\u79d1\u6280\u7522\u696d\u70ba\u4f8b<\/td><\/td>\n<\/tr>\n
2019<\/td>\u8449\u5049\u4fca<\/td>\u8003\u616e\u50b3\u5c0e\u6027\u96fb\u78c1\u5e72\u64fe\u4e4b\u8fd4\u99b3\u5f0f\u8f49\u63db\u5668\u5f37\u5065\u8a2d\u8a08<\/td><\/td>\n<\/tr>\n
2019<\/td>\u66fe \u9865<\/td>\u61c9\u7528\u5171\u8b58\u6027\u6f14\u7b97\u6cd5\u9032\u884c\u518d\u751f\u80fd\u6e90\u53ca\u8ca0\u8f09\u4e0d\u78ba\u5b9a\u6027\u4e4b\u591a\u5340\u57df\u7d93\u6fdf\u8abf\u5ea6<\/td><\/td>\n<\/tr>\n
2019<\/td>\u856d\u5fd7\u6d0b<\/td>\u61c9\u7528\u6a21\u7cca\u7c92\u5b50\u7fa4\u6f14\u7b97\u6cd5\u9032\u884c\u5b64\u5cf6\u96fb\u7db2\u4e4b\u5169\u968e\u6bb5\u5378\u8f09\u7b56\u7565<\/td><\/td>\n<\/tr>\n
2019<\/td>\u6d2a\u5efa\u5347<\/td>\u81ea\u9069\u61c9\u6bcd\u5c0f\u6ce2\u9078\u64c7\u7528\u65bc\u4e09\u76f8\u8b8a\u6d41\u5668\u9396\u76f8\u74b0\u53bb\u566a\u8207\u8ae7\u6ce2\u6291\u5236<\/td>\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2019<\/td>\u6c88\u6069\u5a77<\/td>\u57fa\u65bc\u5f37\u5065\u8a2d\u8a08\u7684\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u9032\u884c\u524d\u4e00\u65e5\u98a8\u529b\u767c\u96fb\u9810\u6e2c
\nDay-ahead spatiotemporal wind speed forecasting using robust design-based deep learning neural network(SCI)<\/td>		\u5370\u5c3c\u570b\u969b\u751f<\/td>\n<\/tr>\n
2019<\/td>\u5f35 \u5f1b<\/td>Day-ahead Spatiotemporal Solar Irradiation Forecasting based on the Frequency Characteristic of Solar Irradiation Time Series using PCA-BP Neural Network(SCI)<\/td>\u54c8\u5de5\u7a0b\u4ea4\u63db\u751f<\/td>\n<\/tr>\n
2019<\/td>\u9ec3\u5b87\u6674<\/td>Probabilistic kW Scheduling of Diesel Generators Considering Uncertain Renewables and loads in DSDP Power System
\nJoint Voyage Scheduling and Economic Dispatch for All-Electric Ships with Virtual Energy Storage Systems(SCI)<\/td>		\u54c8\u5de5\u7a0b\u4ea4\u63db\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2018<\/td>\u9673\u4ead\u52f3<\/td>\u96fb\u7e9c\u7dda\u9285\u5c0e\u9ad4\u5957\u7ba1\u7684\u9b6f\u68d2\u8a2d\u8a08<\/td><\/td>\n<\/tr>\n
2018<\/td>\u90ed\u594e\u5e8f<\/td>\u4ee5\u983b\u7387\u5206\u6790\u9032\u884c\u5e73\u6291\u592a\u967d\u80fd\u767c\u96fb\u6ce2\u52d5\u4e4b\u5132\u80fd\u898f\u5283<\/td><\/td>\n<\/tr>\n
2018<\/td>\u5d14\u601d\u5b89<\/td>\u57fa\u65bc\u5c0f\u6ce2\u8b8a\u63db\u548c\u7530\u53e3\u6cd5\u7684\u795e\u7d93\u7db2\u7d61\u9032\u884c\u5fae\u96fb\u7db2\u975c\u614b\u958b\u95dc\u6545\u969c\u6aa2\u6e2c\u8207\u5b9a\u4f4d
\nFault Detection, Classification and Location by Static Switch in Microgrids Using Wavelet Transform and Taguchi-based Artificial Neural Network(SCI)<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2018<\/td>\u6234\u745e\u7fd4<\/td>\u57fa\u65bc\u6df7\u5408\u5f0f\u6df1\u5ea6\u5b78\u7fd2\u7db2\u7d61\u9032\u884c\u524d\u4e8c\u5341\u56db\u5c0f\u6642\u98a8\u529b\u767c\u96fb\u9810\u6e2c
\nA Hybrid Deep Learning-Based Network for 24-Hour Ahead Wind Power Forecasting(SCI)<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2018<\/td>\u8c9d\u99ac\u514b<\/td>\u4ee5\u6676\u7247\u8ff4\u5708\u6a21\u64ec\u9032\u884c\u6700\u4f73\u4e8c\u578b\u6a21\u7cca\u908f\u8f2f\u5927\u529f\u7387\u8ffd\u8e2a\u4e4b\u5f37\u5065\u8a2d\u8a08
\nRobust Design of Type-2 Fuzzy Logic-based Maximum Power Point Tracking for Photovoltaics(SCI)<\/td>		\u83f2\u5f8b\u8cd3\u570b\u969b\u751f<\/td>\n<\/tr>\n
2018<\/td>\u5c39 \u8d6b<\/td>Day-ahead Spatio-temporal Forecasting of Solar Irradiation along a Navigation Route(SCI)
\nElectrical Energy Forecasting and Optimal Allocation of ESS in a Hybrid Wind-Diesel Power System(SCI)<\/td>		\u54c8\u5de5\u7a0b\u4ea4\u63db\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2018<\/td>\u694a\u65b0\u4e5d<\/td>Design and Efficiency Optimization of a Synchronous Machine Using Finite Element Analysis and Taguchi Method(EI)<\/td>\u54c8\u5de5\u7a0b\u4ea4\u63db\u751f<\/td>\n<\/tr>\n
2018<\/td>Angelo A. Beltran Jr.<\/td>A Chaos-Enhanced Particle Swarm Optimization with Adaptive Parameters and Its Application in Maximum Power Point Tracking(SCI)
\nA Robust Design of Maximum Power Point Tracking using Taguchi Method for Stand-alone PV System(SCI)<\/td>		\u83f2\u5f8b\u8cd3Mapua University \u4ea4\u63db\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2017<\/td>\u66fe\u97cb\u7fd4<\/td>\u5fae\u96fb\u7db2\u4e2d\u5177\u4e0d\u826f\u96fb\u529b\u54c1\u8cea\u4e4b\u5340\u57df\u9593\u540c\u6b65\u4f75\u806f\u63a7\u5236\u5668\u8a2d\u8a08<\/td><\/td>\n<\/tr>\n
2017<\/td>\u59da \u6c60<\/td>Novel Adaptive Multi-Clustering Algorithm-based Optimal ESS Sizing in Ship Power System Considering Uncertainty(SCI)<\/td>\u91cd\u6176\u5927\u5b78\u4ea4\u63db\u751f<\/td>\n<\/tr>\n
2016<\/td>\u5e38\u6587\u5cfb<\/td>\u8003\u616e\u6700\u5c0f\u6210\u672c\u8207\u9700\u91cf\u53cd\u61c9\u4e4b\u5206\u6563\u5f0f\u96fb\u6e90\u898f\u5283\u53ca\u55ae\u65e5\u7a7a\u8abf\u6392\u7a0b
\nOptimal Sizing of Renewable Energy Generations in a Community Microgrid Using Markov Model(SCI)<\/td>		<\/td>\n<\/tr>\n
2016<\/td>\u5433\u8513\u541f<\/td>\u61c9\u7528\u99ac\u53ef\u592b\u6a21\u578b\u9032\u884c\u5132\u80fd\u7cfb\u7d71\u898f\u5283
\nMarkov Model-based Energy Storage System Planning in Power Systems(SCI)<\/td>		<\/td>\n<\/tr>\n
2016<\/td>\u5289\u5b5f\u5112<\/td>\u61c9\u7528\u7c92\u5b50\u7fa4\u6f14\u7b97\u6cd5\u8abf\u6574STATCOM\u4e4b\u5340\u9593\u4e8c\u578b\u6a21\u7cca\u63a7\u5236\u5668\u4ee5\u63a7\u5236\u914d\u96fb\u7cfb\u7d71\u96fb\u58d3
\nOptimized Interval Type-II Fuzzy Controller-based STATCOM for Voltage Regulation in Power Systems with Photovoltaic Farm(SCI)<\/td>		<\/td>\n<\/tr>\n
2016<\/td>\u6587\u66f8\u79ae<\/td>Optimal Sizing of Hybrid PV\/Diesel\/Battery in Ship Power System(SCI)
\nAllocation of ESS by Interval Optimization Method Considering Impact of Ship Swinging on Hybrid PV\/Diesel Ship Power System<\/td>		\u54c8\u5de5\u7a0b\u4ea4\u63db\u535a\u58eb\u751f<\/td>\n<\/tr>\n
2015<\/td>\u5289\u4fca\u5104<\/td>\u4ee5FPGA\u5be6\u73fe\u5177\u4e0d\u826f\u96fb\u529b\u54c1\u8cea\u7684\u5fae\u578b\u96fb\u7db2\u9593\u4e4b\u540c\u6b65\u4f75\u806f
\nSynchronization of Two Separate Zones in a Standalone Microgrid(EI)<\/td>		<\/td>\n<\/tr>\n
2015<\/td>\u694a\u7ae4\u5e43<\/td>\u904b\u7528\u514d\u75ab\u514b\u9686\u6f14\u7b97\u6cd5\u91dd\u5c0d\u667a\u6167\u793e\u5340\u5bb6\u5ead\u7528\u96fb\u6700\u4f73\u6392\u7a0b<\/td><\/td>\n<\/tr>\n
2014<\/td>\u53e4\u4fca\u826f<\/td>\u57fa\u65bcTSK\u8a2d\u8a08FPGA\u4ee5\u61c9\u7528\u65bc\u5fae\u96fb\u7db2\u6545\u969c\u5075\u6e2c
\nTSK-based FPGA Design for Fault Detection\/classification in Microgrid<\/td>		<\/td>\n<\/tr>\n
2014<\/td>\u8b1d\u96e8\u502b<\/td>\u4ee5\u5340\u9593\u7b2c\u4e8c\u578b\u6a21\u7cca\u70ba\u57fa\u790e\u4e4bSTATCOM\u61c9\u7528\u914d\u96fb\u7cfb\u7d71\u96fb\u58d3\u63a7\u5236
\nInterval Type-II Fuzzy Rule-based STATCOM for Voltage Regulation in the Power Systems(SCI)<\/td>		<\/td>\n<\/tr>\n
2014<\/td>\u65b9\u656c\u5ef7<\/td>\u8003\u616e\u5149\u4f0f\u9663\u5217\u4e4b\u91ab\u9662\u96fb\u529b\u7cfb\u7d71\u53ef\u9760\u5ea6\u5206\u6790<\/td><\/td>\n<\/tr>\n
2014<\/td>\u90b1\u6176\u751f<\/td>\u4f7f\u7528\u540c\u6642\u64fe\u52d5\u96a8\u6a5f\u8fd1\u4f3c\u6cd5\u65bc\u5de5\u5ee0\u914d\u96fb\u7cfb\u7d71\u88ab\u52d5\u5f0f\u6ffe\u6ce2\u5668\u898f\u5283
\nMPPT for PM Wind Generator Using Gradient Approximation(SCI)
\nPassive Filter Planning Using Simultaneous Perturbation Stochastic Approximation(SCI)
\nHour-ahead Wind Power and speed Forecasting Using Simultaneous Perturbation Stochastic Approximation (SPSA) Algorithm and Neural Network with Fuzzy Inputs(SCI)<\/td>		<\/td>\n<\/tr>\n
2014<\/td>\u6e38\u535a\u5347<\/td>\u5de5\u5ee0\u96fb\u529b\u7cfb\u7d71\u4e2d\u8003\u91cf\u4e0d\u78ba\u5b9a\u6027\u518d\u751f\u80fd\u6e90\u4e4b\u6700\u4f73\u5316\u5be6\u529f\u767c\u96fb\u8207\u9700\u91cf\u8abf\u6d3e
\nOptimal Unit\/Demand Commitment in a Factory Power System Considering Uncertain Renewables<\/td>		<\/td>\n<\/tr>\n
2013<\/td>\u5f6d\u767e\u541b<\/td>\u81ea\u5099\u767c\u96fb\u6a5f\u7d44\u7528\u6236\u4e4b\u6700\u4f73\u5951\u7d04\u5bb9\u91cf\u8a02\u5b9a<\/td><\/td>\n<\/tr>\n
2013<\/td>\u9ec3\u58eb\u744b<\/td>\u61c9\u7528\u99ac\u53ef\u592b\u6a21\u578b\u8207\u6a21\u7cca\u63a8\u8ad6\u6c42\u89e3\u591a\u60c5\u5883\u88ab\u52d5\u5f0f\u6ffe\u6ce2\u5668\u898f\u5283
\nMulti-scenario Passive Filter Planning by Using Markov Model and Probabilistic Fuzzy Reasoning(SCI)<\/td>		<\/td>\n<\/tr>\n
2013<\/td>\u8521\u5b9c\u5ef7<\/td>\u4ee5FPGA\u9032\u884c\u4e0d\u826f\u96fb\u529b\u54c1\u8cea\u4e0b\u5fae\u7db2\u8207\u5e02\u96fb\u540c\u6b65\u4f75\u806f\u4e4b\u5be6\u73fe<\/td><\/td>\n<\/tr>\n
2013<\/td>\u8cf4\u52c7\u798e<\/td>\u61c9\u7528\u514d\u75ab\u6f14\u7b97\u6cd5\u9032\u884c\u5fae\u578b\u96fb\u7db2\u4e4b\u4f4e\u983b\u96fb\u9a5b\u53c3\u6578\u8a2d\u8a08\u8207\u53ef\u9760\u5ea6\u5206\u6790
\nOptimizing Capacity of Energy Storage in Islanded Microgrid Using Immunity-based Multiobjective Planning(SCI)<\/td>		<\/td>\n<\/tr>\n
2013<\/td>\u8cf4\u6c85\u6cef<\/td>\u8003\u616e\u4e0d\u78ba\u5b9a\u56e0\u7d20\u4e0b\u7368\u7acb\u96fb\u529b\u7cfb\u7d71\u4e4b\u6700\u4f73\u5206\u6563\u5f0f\u898f\u5283
\nOptimizing Capacities of Distributed Generation and Energy Storage in a Small Autonomous Power System Considering Uncertainty in Renewables(SCI)<\/td>		<\/td>\n<\/tr>\n
2013<\/td>\u5f90\u9e92\u6649<\/td>\u4e09\u76f8\u98a8\u529b\u767c\u96fb\u6a5f\u65bc\u55ae\u76f8\u5e02\u96fb\u4f75\u806f\u8207\u89e3\u806f\u4e4b\u7814\u7a76
\nStudy on Single-phase Grid connection and Disconnection for a Three-phase Wind Generation(SCI)<\/td>		<\/td>\n<\/tr>\n
2013<\/td>\u8cf4\u5fc5\u5065<\/td>\u8003\u616e\u592a\u967d\u5149\u96fb\u7cfb\u7d71\u4e4b\u6676\u5713\u7d1a\u5c01\u88dd\u5ee0\u96fb\u529b\u54c1\u8cea\u8207\u53ef\u9760\u5ea6\u5206\u6790<\/td><\/td>\n<\/tr>\n
2012<\/td>\u8449\u80b2\u5ef7<\/td>\u4ee5\u7dda\u4e0a\u985e\u795e\u7d93\u7db2\u8def\u9032\u884c\u5132\u80fd\u8a2d\u5099\u63a7\u5236\u4ee5\u8abf\u7bc0\u98a8\u529b\u6a5f\u51fa\u529b<\/td><\/td>\n<\/tr>\n
2012<\/td>\u856d\u540d\u921e<\/td>\u61c9\u7528\u57fa\u56e0\u898f\u5283\u9032\u884c\u5fae\u578b\u96fb\u7db2\u4e4b\u4f4e\u983b\u96fb\u9a5b\u53c3\u6578\u8a2d\u8a08
\nMulti-scenario Under-frequency Load Shedding in a Microgrid Considering Intermittent Renewables(SCI)
\nStudies on Operation Modes for the First Outdoor Microgrid Test Bed in Taiwan(EI)<\/td>		<\/td>\n<\/tr>\n
2012<\/td>\u8607\u9f0e\u76db<\/td>\u5fae\u578b\u96fb\u7db2\u904b\u8f49\u8207\u53ef\u9760\u5ea6\u5206\u6790
\nPreliminary Studies on First Outdoor Microgrid Test Bed in Taiwan(EI)<\/td>		<\/td>\n<\/tr>\n
2012<\/td>\u9673\u8018\u5fd7<\/td>\u96fb\u5b50\u7814\u767c\u5927\u6a13\u4f9b\u96fb\u7cfb\u7d71\u96fb\u529b\u54c1\u8cea\u5206\u6790<\/td><\/td>\n<\/tr>\n
2012<\/td>\u9b4f\u5f65\u6cd3<\/td>\u61c9\u7528ANFIS\u53ca\u5c0f\u6ce2\u8f49\u63db\u9032\u884c\u5fae\u96fb\u7db2\u4e4b\u975c\u614b\u958b\u95dc\u6676\u7247\u8a2d\u8a08
\nFault Detection and Location by Static Switch in Microgrid Using Wavelet Transform and ANFIS<\/td>		<\/td>\n<\/tr>\n
2012<\/td>\u5305\u5b87\u6176<\/td>FPGA Implementation for Real-time Empirical Mode Decomposition(SCI)
\nThe Design of a Hybrid Hierarchical Demand Response Control Scheme for the Frequency Control(SCI)<\/td>		\u6771\u5357\u5927\u5b78\u4ea4\u63db\u751f<\/td>\n<\/tr>\n
2011<\/td>\u5085\u5efa\u6a3a<\/td>\u7d55\u7de3\u6cb9\u4e2d\u96f6\u96fb\u4f4d\u5c0e\u9ad4\u8207\u5e36\u96fb\u5c0e\u9ad4\u9593\u4e4b\u96fb\u5834\u5f37\u5ea6\u5206\u6790<\/td><\/td>\n<\/tr>\n
2011<\/td>\u5f6d\u71c8\u9360<\/td>\u8003\u616e\u7da0\u8272\u96fb\u529b\u4e4b\u9762\u677f\u5ee0\u5951\u7d04\u5bb9\u91cf\u6700\u4f73\u5316<\/td><\/td>\n<\/tr>\n
2011<\/td>\u5468\u656c\u7ff0<\/td>\u4ee5\u4eba\u5de5\u667a\u6167\u9032\u884c\u5fae\u96fb\u7db2\u975e\u4fb5\u5165\u5f0f\u8ca0\u8f09\u76e3\u6e2c\u65b9\u6cd5
\nNonintrusive Load Monitoring for Microgrid Using Hybrid Self-Organizing Mapping Network(SCI)<\/td>		<\/td>\n<\/tr>\n
2011<\/td>\u6d2a\u6587\u5fb7<\/td>\u4ee5\u5c0f\u6ce2\u7406\u8ad6\u9032\u884cOFDM\u96fb\u529b\u7dda\u6ffe\u9664\u96dc\u8a0a\u4e4bFPGA\u6676\u7247\u8a2d\u8a08
\nWavelet-based OFDM for Power Line Communication Using FPGA<\/td>		<\/td>\n<\/tr>\n
2010<\/td>\u738b\u6631\u4e2d<\/td>\u7368\u7acb\u96fb\u529b\u7cfb\u7d71\u4e4b\u5206\u6563\u5f0f\u96fb\u6e90\u898f\u5283
\nGeneration Planning for Standalone Power Systems(EI)<\/td>		<\/td>\n<\/tr>\n
2010<\/td>\u6881\u82e5\u6668<\/td>\u8003\u616e\u6210\u672c\u6700\u5c0f\u5316\u53ca\u53ef\u9760\u5ea6\u4e4b\u5206\u6563\u5f0f\u96fb\u6e90\u898f\u5283
\nOptimal Sizing of Hybrid Wind\/PV\/Diesel Generation in a Standalone Power System Using Markov-based Genetic Algorithm(SCI)<\/td>		<\/td>\n<\/tr>\n
2010<\/td>\u9673\u67cf\u4e98<\/td>\u4f7f\u7528\u53ef\u8b8a\u5b57\u4e32\u57fa\u56e0\u6f14\u7b97\u6cd5\u9032\u884c\u5177\u6a21\u7cca\u8ca0\u8f09\u96fb\u529b\u7cfb\u7d71\u4e4b\u4f4e\u983b\u96fb\u9a5b\u53c3\u6578\u8a2d\u8a08
\nGenetic-based Under-frequency Load Shedding in a Standalone Power System Considering Fuzzy Loads(SCI)<\/td>		<\/td>\n<\/tr>\n
2009<\/td>\u5f35\u6b63\u8208<\/td>\u6db2\u6676\u96fb\u8996\u63a7\u5236\u677f\u4e4b\u96fb\u6e90\u898f\u5283\u8207\u6539\u5584<\/td><\/td>\n<\/tr>\n
2009<\/td>\u7ae0\u5b78\u8ce2<\/td>\u975e\u4fb5\u5165\u5f0f\u8ca0\u8f09\u76e3\u6e2c\u65b9\u6cd5\u53ca\u5176\u61c9\u7528<\/td><\/td>\n<\/tr>\n
2009<\/td>\u8521\u660e\u6770<\/td>\u8003\u616e\u53ef\u9760\u5ea6\u7684\u9762\u677f\u5ee0\u8ae7\u6ce2\u5206\u6790\u8207\u6539\u5584<\/td><\/td>\n<\/tr>\n
2009<\/td>\u5f6d\u6587\u9f8d<\/td>\u9762\u677f\u5ee0\u96fb\u529b\u5951\u7d04\u5bb9\u91cf\u6700\u4f73\u5316<\/td><\/td>\n<\/tr>\n
2009<\/td>\u6797\u6377\u51f1<\/td>\u4ee5\u514d\u75ab\u6f14\u7b97\u6cd5\u9032\u884c\u591a\u76ee\u6a19\u6a21\u7cca\u53c3\u6578\u4e4b\u7368\u7acb\u96fb\u529b\u7cfb\u7d71\u77ed\u671f\u767c\u96fb\u6392\u7a0b
\nInteractive Multi-objective kW Scheduling Considering Fuzzy Factors Using Adaptive Chaos Clonal Evolutionary Programming(SCI)
\nMulti-Objective Air-Conditioning Control Considering Fuzzy Parameters Using Immune Clone Selection Programming(SCI)<\/td>		<\/td>\n<\/tr>\n
2009<\/td>\u5f6d\u51a0\u9716<\/td>\u61c9\u7528\u99ac\u53ef\u592b\u6a21\u578b\u8207\u91cf\u5b50\u9032\u5316\u6f14\u7b97\u6cd5\u6c42\u89e3\u914d\u96fb\u7cfb\u7d71\u7121\u6548\u96fb\u529b\u63a7\u5236
\nOptimal VAR Planning in Standalone Grid with Intermittent Wind Power Using Markov Model and Quantum Evolutionary Algorithm(SCI)<\/td>		<\/td>\n<\/tr>\n
2009<\/td>\u674e\u5d19\u6689<\/td>\u61c9\u7528\u6545\u969c\u6a39\u5206\u6790\u8a55\u4f30\u767c\u8f38\u96fb\u53ca\u958b\u95dc\u5834\u4fdd\u8b77\u7cfb\u7d71\u4e4b\u53ef\u9760\u5ea6
\nReliability Assessment of Composite System Using Fault-Tree Analysis(SCI)
\nApplication of Fuzzy Fault-Tree Analysis to Assess Reliability of Protection System for Switchyard(EI)
\nReliability Assessment for Taipower’s Composite System\u2013Case Studies(SCI)<\/td>		<\/td>\n<\/tr>\n
2009<\/td>\u85cd\u5049\u9f4a<\/td>\u5229\u7528FPGA\u6676\u7247\u5be6\u73feX10\u8abf\u8b8a\u4ee5\u9032\u884c\u96fb\u529b\u7dda\u901a\u8a0a
\nRealization of X10 for PLC Using FPGA<\/td>		<\/td>\n<\/tr>\n
2009<\/td>\u6797\u5b97\u6bc5<\/td>\u5229\u7528\u6676\u7247\u5be6\u73fe\u5bb6\u7528\u914d\u96fb\u7db2\u8def\u4e4bOFDM\u901a\u8a0a\u8abf\u8b8a
\nRealization of OFDM for PLC Using FPGA<\/td>		<\/td>\n<\/tr>\n
2009<\/td>\u9673\u5955\u7a4e<\/td>\u61c9\u7528\u5c0f\u6ce2\u8f49\u63db\u53ca\u667a\u6167\u578b\u8a08\u7b97\u9032\u884c\u914d\u96fb\u7cfb\u7d71\u96fb\u529b\u54c1\u8cea\u91cf\u6e2c\u8a2d\u5099\u4e4b\u5b89\u7f6e
\nPlacement of Power Quality Facilities Using Genetic-Based K-Means(SCI)<\/td>		<\/td>\n<\/tr>\n
2009<\/td>\u5ed6\u6587\u667a<\/td>\u4f7f\u7528\u7d2f\u7a4d\u5143\u65b9\u6cd5\u8207\u514d\u75ab\u6f14\u7b97\u6cd5\u4e4b\u96fb\u529b\u7cfb\u7d71\u88ab\u52d5\u5f0f\u6ffe\u6ce2\u5668\u898f\u5283
\nOptimal Passive Filter Planning Considering Time-Varying Parameters Using Cumulant and Adaptive Dynamic Clone Selection Algorithm(SCI)<\/td>		<\/td>\n<\/tr>\n
2008<\/td>\u6e38\u5b8f\u76ca<\/td>\u4e8c\u6b21\u8b8a\u96fb\u6240\u4e3b\u8b8a\u58d3\u5668\u505c\u96fb\u6642\u672a\u5207\u96e2\u8ca0\u8f09\u4e0b\u9015\u884c\u6240\u5167\u8f49\u4f9b\u4e4b\u66ab\u614b\u5206\u6790<\/td><\/td>\n<\/tr>\n
2008<\/td>\u9673\u4fca\u5b8f<\/td>\u6db2\u6676\u986f\u793a\u5668\u96fb\u78c1\u5e72\u64fe\u6291\u5236\u4e4b\u7814\u7a76<\/td><\/td>\n<\/tr>\n
2008<\/td>\u5f35\u6c34\u5764<\/td>\u5de5\u696d\u88fd\u7a0b\u4e4b\u4eba\u6a5f\u754c\u9762\u6574\u5408\u8207\u61c9\u7528<\/td><\/td>\n<\/tr>\n
2008<\/td>\u9ec3\u4fca\u6b3d<\/td>\u4ee5\u64fe\u52d5\u96a8\u6a5f\u8fd1\u4f3c\u6cd5\u9032\u884c\u9f20\u7c60\u5f0f\u611f\u61c9\u767c\u96fb\u6a5f\u4e4b\u6700\u5927\u529f\u7387\u8ffd\u8e64\u63a7\u5236<\/td><\/td>\n<\/tr>\n
2008<\/td>\u674e\u5b50\u8c6a<\/td>\u5229\u7528FPGA\u6676\u7247\u5be6\u73fe\u6b63\u4ea4\u5206\u983b\u591a\u5de5\u8abf\u8b8a\u4ee5\u9032\u884c\u96fb\u529b\u7dda\u901a\u8a0a
\nExploration of Multi-path Fading in Power Line Communication with Orthogonal Frequency-Division Multiplexing Modulation Using FPGA Chip(EI)<\/td>		<\/td>\n<\/tr>\n
2008<\/td>\u838a\u5fd7\u7965<\/td>\u5177\u5c0f\u578b\u98a8\u529b\u767c\u96fb\u5e02\u96fb\u4f75\u806f\u529f\u80fd\u4e4b\u5728\u7dda\u5f0f\u4e0d\u65b7\u96fb\u7cfb\u7d71<\/td><\/td>\n<\/tr>\n
2008<\/td>\u6c5f\u58eb\u5091<\/td>\u592a\u967d\u80fd\u96fb\u6c60\u767c\u96fb\u7cfb\u7d71\u906e\u853d\u6548\u61c9\u4e0b\u6700\u5927\u529f\u7387\u8ffd\u8e64\u65b9\u6cd5<\/td><\/td>\n<\/tr>\n
2008<\/td>\u5f35\u60e0\u73b2<\/td>\u61c9\u7528\u540c\u6642\u64fe\u52d5\u96a8\u6a5f\u8fd1\u4f3c\u6f14\u7b97\u6cd5\u9810\u6e2c\u98a8\u901f\u53ca\u98a8\u529b\u767c\u96fb\u91cf<\/td><\/td>\n<\/tr>\n
2008<\/td>\u6c88\u660e\u5efa<\/td>\u518d\u751f\u80fd\u6e90\u6df7\u5408\u578b\u767c\u96fb\u7cfb\u7d71\u5e02\u96fb\u4f75\u806f\u8f49\u63db\u5668\u4e4b\u7814\u88fd<\/td><\/td>\n<\/tr>\n
2008<\/td>\u5f35\u4f73\u6e90<\/td>\u5177\u4e3b\u52d5\u5f0f\u6ffe\u6ce2\u5668\u529f\u80fd\u4e4b\u592a\u967d\u80fd\u96fb\u6c60\u5e02\u96fb\u4f75\u806f\u4f9b\u96fb\u7cfb\u7d71<\/td><\/td>\n<\/tr>\n
2008<\/td>\u674e\u54f2\u6bc5<\/td>\u4ee5\u7279\u5fb5\u64f7\u53d6\u53ca\u57fa\u56e0\u898f\u5283\u70ba\u57fa\u790e\u4e4b\u975e\u4fb5\u5165\u5f0f\u8ca0\u8f09\u76e3\u6e2c\u7cfb\u7d71\u8a2d\u8a08<\/td><\/td>\n<\/tr>\n
2008<\/td>\u9673\u6587\u5e8f<\/td>\u57fa\u56e0\u6f14\u7b97\u6cd5\u8207\u96fb\u8377\u6a21\u64ec\u6cd5\u65bc\u9ad8\u96fb\u58d3\u7919\u5b50\u5916\u578b\u6700\u4f73\u5316\u8a2d\u8a08<\/td><\/td>\n<\/tr>\n
2008<\/td>\u9ec3\u97cb\u821c<\/td>\u61c9\u7528\u5c0f\u6ce2\u8f49\u63db\u53ca\u4eba\u5de5\u667a\u6167\u9032\u884c\u914d\u96fb\u7cfb\u7d71\u9ad8\u963b\u6297\u6545\u969c\u4f4d\u7f6e\u4e4b\u5224\u65b7
\nLocating High-Impedance Fault Section UsingWavelet Transform and Support Vector Machine(SCI)<\/td>		<\/td>\n<\/tr>\n
2008<\/td>\u9b4f\u4e16\u82b3<\/td>\u7368\u7acb\u96e2\u5cf6\u7cfb\u7d71\u98a8\u529b\u767c\u96fb\u6700\u5927\u4f75\u806f\u5bb9\u91cf\u53ca\u4f4e\u983b\u5378\u8f09\u7814\u7a76
\nMulti-objective Under-frequency Load Shedding in an Autonomous System Using Hierarchical Genetic Algorithms(SCI)<\/td>		<\/td>\n<\/tr>\n
2008<\/td>\u9b4f\u5927\u97cb<\/td>\u61c9\u7528\u5c0f\u6ce2\u7406\u8ad6\u8207\u8ff4\u6b78\u6cd5\u4fee\u6b63\u6bd4\u6d41\u5668\u98fd\u548c\u96fb\u6d41\u4e4b\u96fb\u9a5b\u6676\u7247\u8a2d\u8a08
\nCompensation of Distorted Secondary Current Caused by Saturation and Remanence in a CT(SCI)<\/td>		<\/td>\n<\/tr>\n
2007<\/td>\u90b1\u6631\u744b<\/td>\u4ee5\u540c\u6642\u64fe\u52d5\u96a8\u6a5f\u8fd1\u4f3c\u6cd5\u70ba\u57fa\u790e\u4e4b\u98a8\u529b\u6a5f\u8f49\u8ef8\u7dda\u4e0aPID\u63a7\u5236\u5668\u53c3\u6578\u8abf\u6574<\/td><\/td>\n<\/tr>\n
2007<\/td>\u4faf\u81f3\u806f<\/td>\u61c9\u7528\u985e\u795e\u7d93\u7db2\u8def\u9032\u884c\u8003\u616e\u7121\u6548\u96fb\u529b\u9810\u6e2c\u4e4b\u96fb\u9a5b\u6676\u7247\u8a2d\u8a08<\/td><\/td>\n<\/tr>\n
2007<\/td>\u8a79\u5fb7\u8208<\/td>\u6c7d\u8eca\u5de5\u5ee0\u4e4b\u5951\u7d04\u5bb9\u91cf\u6700\u4f73\u5316<\/td><\/td>\n<\/tr>\n
2007<\/td>\u7f85\u4e00\u5cf0<\/td>\u61c9\u7528\u7d2f\u7a4d\u5143\u8207\u57fa\u56e0\u6f14\u7b97\u6cd5\u6c42\u89e3\u914d\u96fb\u7cfb\u7d71\u7121\u6548\u96fb\u529b\u63a7\u5236
\nOptimal VAR Control Using Probabilistic Load Flow and Gray-based Genetic Algorithms(SCI)<\/td>		<\/td>\n<\/tr>\n
2007<\/td>\u838a\u9326\u4fca<\/td>\u4f7f\u7528\u5dee\u5206\u8fd1\u4f3c\u6f14\u7b97\u6cd5\u9032\u884c\u98a8\u529b\u767c\u96fb\u7cfb\u7d71\u5b64\u5cf6\u6548\u61c9\u5075\u6e2c<\/td><\/td>\n<\/tr>\n
2007<\/td>\u5433\u7e7c\u5e73<\/td>\u61c9\u7528\u985e\u795e\u7d93\u7db2\u8def\u53ca\u57fa\u56e0\u6f14\u7b97\u6cd5\u9810\u6e2c\u98a8\u901f\u8207\u98a8\u529b\u767c\u96fb\u91cf
\nShort-Term Wind Power and Speed Forecasting Using Data Mining and Neural Network(EI)<\/td>		<\/td>\n<\/tr>\n
2007<\/td>\u6d2a\u6587\u6176<\/td>\u77f3\u5316\u5ee0\u96fb\u529b\u7cfb\u7d71\u66ab\u614b\u7a69\u5b9a\u5ea6\u5206\u6790<\/td><\/td>\n<\/tr>\n
2006<\/td>\u5f35\u7c21\u535a\u5168<\/td>\u61c9\u7528\u5c0f\u6ce2\u8f49\u63db\u8207\u4eba\u5de5\u667a\u6167\u9032\u884c\u5177\u5075\u6e2c\u8207\u4fee\u6b63\u6bd4\u6d41\u5668\u98fd\u548c\u529f\u80fd\u4e4b\u904e\u96fb\u6d41\u96fb\u9a5b\u6676\u7247\u8a2d\u8a08
\nDetection and Correction of Distorted CT Current Using Wavelet Transform and Artificial Intelligence (SCI)<\/td>		<\/td>\n<\/tr>\n
2006<\/td>\u6797\u58eb\u921e<\/td>\u8003\u616e\u6f8e\u6e56\uf9ea\u5cb8\u5f0f\u98a8\uf98a\u767c\u96fb\u8207\u53f0\u6f8e\u6d77\u5e95\u96fb\u7e9c\u4e4b\u7279\u6b8a\u4fdd\u8b77\u7cfb\u7d71
\nImpact Study of Peng-Hu Offshore Wind Farm and Tai-Peng Submarine Cables upon Penh-Hu system(SCI) <\/td>		<\/td>\n<\/tr>\n
2006<\/td>\u9ec3\u4fe1\u9298<\/td>6\u540b\u6676\u5713\u4ee3\u5de5\u5ee0\u96fb\u529b\u8ae7\u6ce2\u63a2\u8a0e\u8207\u5206\u6790<\/td><\/td>\n<\/tr>\n
2006<\/td>\u5442\u5b78\u5fb7<\/td>\u4ee5\u540c\u6642\u64fe\u52d5\u96a8\u6a5f\u8fd1\u4f3c\u6cd5\u9032\u884c\u98a8\u5834\u6c38\u78c1\u540c\u6b65\u767c\u96fb\u6a5f\u4e4b\u6700\u5927\u529f\u7387\u8ffd\u8e64\u63a7\u5236
\nMaximum Power Tracking for PMG in Wind Farm Using Simultaneous Perturbation Stochastic Approximation(SCI)<\/td>		<\/td>\n<\/tr>\n
2005<\/td>\u738b\u5e73\u8cb4<\/td>\u53f0\u96fb\u5317\u4f9b\u8b8a\u96fb\u6240\u96fb\u78c1\u5834\u91cf\u6e2c\u8207\u5206\u6790
\nMeasurement and Analysis of Magnetic Fields for Power Substations (EI)<\/td>		<\/td>\n<\/tr>\n
2005<\/td>\u674e\u5b9c\u5f65<\/td>\u4ee5\u5954\u5154\u6676\u7247\u767c\u5c55\u7db2\u8def\u53ef\u7a0b\u5f0f\u908f\u8f2f\u63a7\u5236\u5668<\/td><\/td>\n<\/tr>\n
2005<\/td>\u9673\u67cf\u5143<\/td>\u61c9\u7528\u5c0f\u6ce2\u8f49\u63db\u53ca\u4eba\u5de5\u667a\u6167\u9032\u884c\u914d\u96fb\u7cfb\u7d71\u96fb\u5bb9\u5207\u63db\u66ab\u614b\u4f4d\u7f6e\u4e4b\u5224\u65b7*Locating Switched Capacitor Using Wavelet Transform and Hybrid Principal Component Analysis Network(SCI)<\/td><\/td>\n<\/tr>\n
2005<\/td>\u7f85\u6587\u660e<\/td>\u4ee5\u77ac\u6642\u64fe\u52d5\u96a8\u6a5f\u8fd1\u4f3c\u70ba\u57fa\u790e\u4e4b\u97f3\u5708\u99ac\u9054\u7dda\u4e0aPID\u63a7\u5236\u5668\u53c3\u6578\u8abf\u6574
\nRealization of Simultaneous Perturbation Stochastic Approximation Using FPGA for On-line PID Parameter Tuning<\/td>		<\/td>\n<\/tr>\n
2005<\/td>\u9673\u4ed5\u653f<\/td>\u8584\u819c\u6db2\u6676\u5ee0\u96fb\u529b\u8ae7\u6ce2\u63a2\u8a0e\u8207\u5206\u6790<\/td><\/td>\n<\/tr>\n
2005<\/td>\u674e\u660c\u5ead<\/td>\u61c9\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u9032\u884c\u7368\u7acb\u96fb\u529b\u7cfb\u7d71\u77ed\u671f\u767c\u96fb\u6392\u7a0b
\nShort-term Real Power Scheduling Considering Fuzzy Factors in an Autonomous System Using Genetic Algorithms(SCI)<\/td>		<\/td>\n<\/tr>\n
2004<\/td>\u856d\u82a5\u967d<\/td>\u61c9\u7528\u985e\u795e\u7d93\u7db2\u8def\u9032\u884c\u89e3\u5236\u96fb\u696d\u5e02\u5834\u4e2d\u53ef\u5229\u7528\u50b3\u8f38\u80fd\u529b\u4e4b\u4f30\u6e2c
\nAvailable Transfer Capability Estimator Using Principal Component Analysis and Multi-layer Feedforward Neural Network(SCI) <\/td>		<\/td>\n<\/tr>\n
2004<\/td>\u8b1d\u5b8f\u660e<\/td>\u4f7f\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u9032\u884c\u914d\u96fb\u7cfb\u7d71\u975c\u614b\u8f49\u4f9b\u958b\u95dc\u5b89\u88dd\u4f4d\u7f6e\u4e4b\u6c7a\u5b9a
\nDetermination of Locations for Static Transfer Switches Using Genetic Algorithms and Fuzzy Multi-Objective Programming(SCI) <\/td>		<\/td>\n<\/tr>\n
2004<\/td>\u694a\u5764\u8b00<\/td>900MHz~1800MHz\u96fb\u78c1\u5834\u7684\u6e2c\u91cf\u8207\u63a2\u8a0e<\/td><\/td>\n<\/tr>\n
2004<\/td>\u9673\u5bb6\u5bcc<\/td>\u4e26\u806f\u96fb\u5bb9\u5668\u7d44\u5207\u63db\u66ab\u614b\u73fe\u8c61\u4e4b\u63a2\u8a0e\u5206\u6790<\/td><\/td>\n<\/tr>\n
2004<\/td>\u8b1d\u5bb6\u5049<\/td>\u4ee5\u5206\u985e\u53ca\u8ff4\u6b78\u6cd5\u9032\u884c\u4f4e\u58d3\u9700\u91cf\u5951\u7d04\u7528\u6236\u4f30\u6e2c<\/td><\/td>\n<\/tr>\n
2003<\/td>\u5468\u65fb\u5fb7<\/td>\u5229\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u4e4b\u6ed1\u52d5\u6a21\u5f0f\u63a7\u5236\u611f\u61c9\u99ac\u9054\u4f3a\u670d\u9a45\u52d5\u7cfb\u7d71<\/td><\/td>\n<\/tr>\n
2003<\/td>\u9ec3\u67cf\u51f1<\/td>\u4ee5\u57fa\u56e0\u6f14\u7b97\u6cd5\u70ba\u57fa\u790e\u4e4b\u905e\u8ff4\u5f0f\u6a21\u7cca\u985e\u795e\u7d93\u7db2\u8def\u63a7\u5236\u7dda\u578b\u611f\u61c9\u99ac\u9054\u9a45\u52d5\u7cfb\u7d71<\/td><\/td>\n<\/tr>\n
2003<\/td>\u5468\u65fb\u5fb7<\/td>\u5229\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u4e4b\u6ed1\u52d5\u6a21\u5f0f\u63a7\u5236\u611f\u61c9\u99ac\u9054\u4f3a\u670d\u9a45\u52d5\u7cfb\u7d71<\/td><\/td>\n<\/tr>\n
2003<\/td>\u7c21\u654f\u90ce<\/td>\u5de5\u5ee0\u914d\u96fb\u7cfb\u7d71\u8ae7\u6ce2\u5206\u6790\u8207\u6539\u5584<\/td><\/td>\n<\/tr>\n
2003<\/td>\u9ec3\u67cf\u51f1<\/td>\u4ee5\u57fa\u56e0\u6f14\u7b97\u6cd5\u70ba\u57fa\u790e\u4e4b\u905e\u8ff4\u5f0f\u6a21\u7cca\u985e\u795e\u7d93\u7db2\u8def\u63a7\u5236\u7dda\u578b\u611f\u61c9\u99ac\u9054\u9a45\u52d5\u7cfb\u7d71<\/td><\/td>\n<\/tr>\n
2003<\/td>\u738b\u653f\u5049<\/td>\u7d50\u5408\u5c0f\u6ce2\u8f49\u63db\u8207\u985e\u795e\u7d93\u7db2\u8def\u8fa8\u5225\u96fb\u529b\u958b\u95dc\u4e4b\u5207\u63db
\nSwitching Detection\/Classification Using Discrete Wavelet Transform and Self-Organizing Mapping Network(SCI)<\/td>		<\/td>\n<\/tr>\n
2003<\/td>\u674e\u6b0a\u82b3<\/td>\u89e3\u5236\u96fb\u696d\u5e02\u5834\u5340\u57df\u908a\u969b\u96fb\u50f9\u4e4b\u9810\u6e2c
\nA Neuro-Fuzzy LMP Forecasting Approach in Deregulated Electric Markets(SCI)<\/td>		<\/td>\n<\/tr>\n
2003<\/td>\u9ec3\u5efa\u88d5<\/td>\u8ae7\u6ce2\u5c0d\u5c0f\u80fd\u91cf\u904e\u96fb\u6d41\u96fb\u9a5b\u7684\u5f71\u97ff<\/td><\/td>\n<\/tr>\n
2003<\/td>\u5f90\u7dad\u8070<\/td>\u61c9\u7528\u5c0f\u6ce2\u8f49\u63db\u8207\u985e\u795e\u7d93\u7db2\u8def\u9032\u884c\u96fb\u529b\u7cfb\u7d71\u6545\u969c\u7a2e\u985e\u4e4b\u5224\u5225
\nA Comparative Study of Line Fault Detection\/Classification Using Wavelet Transform and Neural Networks(EI)<\/td>		<\/td>\n<\/tr>\n
2003<\/td>\u9867\u548c\u6df1<\/td>\u5229\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u9032\u884c\u63a7\u5236\u5668\u7684\u8a2d\u8a08<\/td><\/td>\n<\/tr>\n
2002<\/td>\u5f35\u9326\u7a0b<\/td>\u6545\u969c\u96fb\u529b\u7cfb\u7d71\u5f15\u8d77\u4e4b\u96fb\u58d3\u964d\u8a08\u7b97<\/td><\/td>\n<\/tr>\n
2002<\/td>\u6d2a\u5f6c\u7693<\/td>\u61c9\u7528\u6a21\u7cca\u99ac\u53ef\u592b\u6c7a\u7b56\u767c\u5c55\u81ea\u7531\u5316\u96fb\u696d\u5e02\u5834\u591a\u72c0\u614b\u7af6\u50f9\u7b56\u7565
\nA Bidding Strategy Based on Fuzzy Markov Decision Process and Fuzzy-c-means for a Competitive Electricity Market(SCI)<\/td>		<\/td>\n<\/tr>\n
2002<\/td>\u5433\u632f\u5609<\/td>\u61c9\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u898f\u5283\u5177\u9593\u6b47\u6027\u8ca0\u8f09\u5de5\u5ee0\u4e4b\u8b8a\u58d3\u5668\u5bb9\u91cf
\nDetermination of Transformer Capacities in an Industrial Factory with Intermittent Loads(SCI)<\/td>		<\/td>\n<\/tr>\n
2002<\/td>\u738b\u4fca\u5091<\/td>\u61c9\u7528\u7d2f\u7a4d\u5143\u65b9\u6cd5\u6c42\u89e3\u9593\u6b47\u6027\u8ca0\u8f09\u5f15\u8d77\u4e4b\u96fb\u58d3\u8b8a\u52d5
\nCalculation of Voltage Fluctuation Caused by Intermittent Loads(SCI)<\/td>		<\/td>\n<\/tr>\n
2002<\/td>\u5433\u88d5\u660e<\/td>\u61c9\u7528RS-232\u4e32\u5217\u57e0\u4e4b\u6280\u8853\u76e3\u63a7\u7528\u6236\u4e4b\u7528\u96fb\u884c\u70ba<\/td><\/td>\n<\/tr>\n
2002<\/td>\u5cb3\u5409\u525b<\/td>\u8ae7\u6ce2\u5c0d\u904e\u96fb\u6d41\u96fb\u9a5b\u7279\u6027\u7684\u5f71\u97ff\u5206\u6790<\/td><\/td>\n<\/tr>\n
2002<\/td>\u4f55\u78a9\u4fde<\/td>\u61c9\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u65bc\u914d\u96fb\u7cfb\u7d71\u994b\u7dda\u91cd\u7d44\u4ee5\u964d\u4f4e\u96fb\u58d3\u9a5f\u964d
\nDetermination of Network Configuration Considering Multi-Objective in Distribution Systems Using Genetic Algorithms(SCI)<\/td>		<\/td>\n<\/tr>\n
2001<\/td>\u9ec3\u5049\u82ac<\/td>\u4ee5\u57fa\u56e0\u6f14\u7b97\u6cd5\u9032\u884c\u591a\u76ee\u6a19\u6a21\u7cca\u53c3\u6578\u4e4b\u88ab\u52d5\u5f0f\u6ffe\u6ce2\u5668\u898f\u5283<\/td><\/td>\n<\/tr>\n
2001<\/td>\u856d\u5168\u4f51<\/td>\u4ee5\u4eba\u5de5\u667a\u6167\u9032\u884c\u89e3\u5236\u5e02\u5834\u5340\u57df\u908a\u969b\u96fb\u50f9\u4e4b\u9810\u6e2c<\/td><\/td>\n<\/tr>\n
2001<\/td>\u5f35\u7c21\u5fd7\u5e74<\/td>\u89e3\u5236\u5e02\u5834\u4e4b\u58c5\u585e\u7ba1\u7406<\/td><\/td>\n<\/tr>\n
2001<\/td>\u5289\u5efa\u52f3<\/td>\u5de5\u696d\u914d\u96fb\u88ab\u52d5\u5f0f\u6ffe\u6ce2\u5668\u5b89\u88dd\u4f4d\u7f6e\u4e4b\u63a2\u8a0e<\/td><\/td>\n<\/tr>\n
2000<\/td>\u8d99\u745e\u7530<\/td>\u61c9\u7528\u6a21\u7cca\u5206\u985e\u8ff4\u6b78\u9032\u884c\u914d\u96fb\u7cfb\u7d71\u5bb9\u91cf\u8207\u80fd\u91cf\u640d\u5931\u4f30\u6e2c<\/td><\/td>\n<\/tr>\n
2000<\/td>\u6797\u4fca\u8208<\/td>\u89e3\u5236\u96fb\u696d\u5e02\u5834\u4e2d\u4ee3\u8f38\u5408\u7d04\u8def\u5f91\u4e4b\u6c7a\u5b9a<\/td><\/td>\n<\/tr>\n
2000<\/td>\u674e\u4e4b\u6e90<\/td>\u61c9\u7528\u57fa\u56e0\u6f14\u7b97\u6cd5\u9032\u884c\u80cc\u58d3\u5f0f\u6c7d\u96fb\u5171\u751f\u5ee0\u96fb\u529b\u4ee3\u8f38\u4e4b\u7d93\u6fdf\u8abf\u5ea6<\/td><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

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