검색어 : 통합검색[Power generation series]
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951
- 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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952
- A New Piezoelectric Bimorph Energy Harvester Based on the Vortex-Induced-Vibration Applied in Rotational Machinery
- Zhou, Gongbo; Li, Zhixiang; Zhu, Zhencai; Hao, Benliang; Tang, Chaoquan; Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; Jiangsu Key Laboratory of Mine Mechanical and Electrical Equipment, School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China; (IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division, v.24, 2019, pp.700-709)
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953
- Optimal Topology Design for Distributed Generation Networks Considering Different Nodal Invulnerability Requirements
- Jiao, Peng; Huang, Shengjun; Jiang, Bo; Zhang, Tao; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; (Symmetry, v.14, 2022, pp.1014)
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954
- Element 1 signs tech licensing deal with Asian manufacturer
- ; ; (Fuel cells bulletin, v.2018, 2018, pp.11-12)
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955
- ICT 기반 기술을 활용한 석탄화력 산업의 변화와 전망
- 김지현; 김효식; 김진호; 강석환; 류재홍; 고등기술연구원; 고등기술연구원; 고등기술연구원; 고등기술연구원; 고등기술연구원; (에너지기후변화학회지 = Journal of energy & climate change, v.13, 2018, pp.110-120)
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956
- DHGAR: Multi-Variable-Driven Wind Power Prediction Model Based on Dynamic Heterogeneous Graph Attention Recurrent Network
- Mingrui Xu; Ruohan Zhu; Chengming Yu; Xiwei Mi; College of Science, China University of Petroleum, Qingdao 266580, China; Institute of Logistics Science and Engineering, Shanghai Maritime University, Shanghai 201306, China; Institute of Artificial Intelligence & Robotics (IAIR), Key Laboratory of Traffic Safety on Track of Ministry of Education, School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China; Collaborative Innovation Center of Railway Traffic Safety, School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; (Applied Sciences, v.15, 2025, pp.1862-1862)
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957
- A study of grey theory used in prediction of annual wind power generation
- Tian Chengwei; Dong Lei; Gao Shuang; Liao Xiaozhong; ; (Electric Information and Control Engineering (ICEICE), 2011 International Conference on, v.2011, 2011, pp.1952-1955)
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958
- The Impacts of Water Policies and Hydrological Uncertainty on the Future Energy Transition of the Power Sector in Shanxi Province, China
- Xingtong Chen; Jijian Lian; Qizhong Guo; School of Civil Engineering, Tianjin University, Tianjin 300072, China; Institute of Ocean Energy and Intelligent Construction, Tianjin University of Technology, Tianjin 300382, China; Department of Civil and Environmental Engineering, Rutgers University-New Brunswick, Piscataway, NJ 08854, USA; (Energies, v.18, 2025, pp.2281-2281)
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959
- 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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960
- 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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