Results 31 to 40 of about 8,161 (262)
Zhejiang dianli, 2023 Accurate forecasting of short-term power load for industrial sectors plays a pivotal role in ensuring the safe and economic operation of regional power grids. To address this critical need， a short-term power load forecasting model in industries based on
YU Yinshu +4 more
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A Short-Term Load Forecasting Method Based on Load Curve Clustering and Elastic Net Analysis
Zhongguo dianli, 2020 A short-term load forecasting method based on load characteristics clustering and elastic net analysis is proposed in this paper. By analyzing and clustering the historical load characteristics, the annual days are classified and its clusters are ...
Bingjie JIN +4 more
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EMD-Based Short-term load forecasting
Advances in Social Science, Education and Humanities Research, 2014 Based on the characteristics of power load series such as periodic randomness and instability, A new method for short-term load forecasting was presented in this paper. Firstly, the power load series was decomposed into intrinsic mode functions (IMF).
Rui Cao +5 more
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Local short term electricity load forecasting: Automatic approaches [PDF]
2017 International Joint Conference on Neural Networks (IJCNN), 2017 Short-Term Load Forecasting (STLF) is a fundamental component in the efficient management of power systems, which has been studied intensively over the past 50 years. The emerging development of smart grid technologies is posing new challenges as well as opportunities to STLF.
Dang-Ha, The-Hien +2 more
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Non-parametric short-term load forecasting
International Journal of Electrical Power & Energy Systems, 2007 Abstract Load forecasting is an important problem in the operation and planning of electrical power generation, as well as in transmission and distribution networks. This paper is interested by short-term load forecasting. It deals with the development of a reliable and efficient Kernel regression model to forecast the load in the Hydro Quebec ...
D. Asber +4 more
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Short-term Load Forecasting with Distributed Long Short-Term Memory
2023 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT), 2023 5 pages, 4 figures, 2023 ISGT ...
Dong, Yi +3 more
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Sensors, 2022 Short-term load forecasting is viewed as one promising technology for demand prediction under the most critical inputs for the promising arrangement of power plant units.
Lichao Sun +4 more
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ANN and ANFIS for Short Term Load Forecasting [PDF]
Engineering, Technology & Applied Science Research, 2018 Load forecasting has become one of the major areas of research in electrical engineering. Short term load forecasting (STLF) is essential for power system planning and economic load dispatch. A variety of mathematical methods has been developed for load forecasting. This paper discusses the influencing factors of STLF and an artificial intelligence (AI)
J. Chakravorty, S. Shah, H. N. Nagraja
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Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Neuromyelitis optica spectrum disorder (NMOSD) is a relapsing autoimmune disease of the central nervous system. High‐dose intravenous methylprednisolone (IVMP) is the standard first‐line therapy for acute attacks, although some patients remain refractory.
Wataru Horiguchi +5 more
wiley +1 more source
IEEE Access, 2023 Power system load forecasting model plays an important role in all aspects of power system planning, operation and control. Therefore, accurate power load forecasting provides an important guarantee for the stable operation of the power grid system. This
Hongsheng Xu +3 more
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