검색어 : 통합검색[Power generation series]
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961
- Forecasting Models for Wind Power Using Extreme-Point Symmetric Mode Decomposition and Artificial Neural Networks
- Zhou, Jianguo; Xu, Xiaolei; Huo, Xuejing; Li, Yushuo; Department of Economics and Management, North China Electric Power University, 689 Huadian Road, Baoding 071000, China; Department of Economics and Management, North China Electric Power University, 689 Huadian Road, Baoding 071000, China; Department of Economics and Management, North China Electric Power University, 689 Huadian Road, Baoding 071000, China; Department of Economics and Management, North China Electric Power University, 689 Huadian Road, Baoding 071000, China; (Sustainability, v.11, 2019, pp.650)
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962
- Improvement to the aerodynamic characteristics of Shinkansen rolling stock
- Ito, M; Central Japan Railway Company (JR Central) Department of Rolling Stock, Shinkansen Operation Division 1-6-6 Yaesu, Chuo-ku, Tokyo, 103-8288, Japan; (Proceedings of the Institution of Mechanical Engineers. Part F, Journal of rail and rapid transit, v.214, 2000, pp.135-143)
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963
- Smart City Facility Location Recommendation Algorithm Using Multimedia Data and Improved Generative Adversarial Networks
- Xie, Xueqing; He, Ming; ; (International journal of intelligent systems, v.2023, 2023, pp.6664219)
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964
- An Evaluation of State-of-Charge Limitations and Actuation Signal Energy Content on Plug-in Hybrid Electric Vehicle, Vehicle-to-Grid Reliability, and Economics
- Quinn, Casey; Zimmerle, Daniel; Bradley, Thomas H.; Mechanical Engineering, Colorado State University, Fort Collins, United States; Mechanical Engineering, Colorado State University, Fort Collins, United States; Mechanical Engineering, Colorado State University, Fort Collins, United States; (IEEE transactions on smart grid, v.3, 2012, pp.483-491)
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965
- Reproducing Statistical Property of Short-term Fluctuation in Wind Power Profiles
- Furuya, S.; Fujimoto, Y.; Murata, N.; Hayashi, Y.; ; (Energy procedia, v.99, 2016, pp.130-136)
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966
- Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets
- Chen, Biaowei; Lin, Peijie; Lai, Yunfeng; Cheng, Shuying; Chen, Zhicong; Wu, Lijun; School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350108, China; School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350108, China; School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350108, China; School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350108, China; School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350108, China; School of Physics and Information Engineering, and Institute of Micro-Nano Devices and Solar Cells, Fuzhou University, Fuzhou 350108, China; (Electronics, v.9, 2020, pp.289)
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967
- AI-based Short-Term Electric Time Series Forecasting
- Singh, Anamika; Srivastava, Manish Kumar; Singh, Navneet Kumar; ; (International journal of innovative technology and exploring engineering, v.8, 2019, pp.3255-3261)
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968
- Reactive Current Reshaping With Series Resonance Damping for Three-Phase Buck-Type Dynamic Capacitor
- Wu, Qi; Dai, Ke; Chen, Xinwen; Zhang, Yuxiao; Xu, Chen; Dai, Ziwei; Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, China; Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, China; Huazhong Institute of Electro-Optics, Wuhan National Laboratory for Optoelectronics, Wuhan, China; Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, China; Huazhong University of Science and Technology, State Key Laboratory of Advanced Electromagnetic Engineering and Technology, School of Electrical and Electronic Engineering, Wuhan, China; Rensselaer Polytechnic; (IEEE access : practical research, open solutions, v.7, 2019, pp.142663-142674)
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969
- Chronological Probability Model of Photovoltaic Generation
- Zhouyang Ren; Wei Yan; Xia Zhao; Wenyuan Li; Juan Yu; State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China; State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China; State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China; State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China; State Key Lab. of Power Transm. Equip. & Syst. Security & New Technol., Chongqing Univ., Chongqing, China; (IEEE transactions on power systems : a publication of the Power Engineering Society, v.29, 2014, pp.1077-1088)
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970
- Cycling of conventional power plants: Technical limits and actual costs
- Van den Bergh, K.; Delarue, E.; ; (Energy conversion and management, v.97, 2015, pp.70-77)
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