Results 11 to 20 of about 3,806,141 (312)
A Review of Deep Transfer Learning Strategy for Energy Forecasting [PDF]
Nature Environment and Pollution Technology, 2023 Over the past decades, energy forecasting has attracted many researchers. The electrification of the modern world influences the necessity of electricity load, wind energy, and solar energy forecasting in power sectors.
S. Siva Sankari and P. Senthil Kumar
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Short term load forecasting based on ARIMA and ANN approaches
Energy Reports, 2023 Forecasting electricity demand requires accurate and sustainable data acquisition systems which rely on smart grid systems. To predict the demand expected by the grid, many smart meters are required to collect sufficient data.
Chafak Tarmanini +3 more
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An adaptive forecasting method for the aggregated load with pattern matching
Frontiers in Energy Research, 2023 Electrical load forecasting plays a vital role in the operation of power system. In this paper, a novel adaptive short-term load forecasting method for the aggregated load is built.
Yikun Tang +6 more
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Load Forecasting Techniques and Their Applications in Smart Grids
Energies, 2023 The growing success of smart grids (SGs) is driving increased interest in load forecasting (LF) as accurate predictions of energy demand are crucial for ensuring the reliability, stability, and efficiency of SGs. LF techniques aid SGs in making decisions
H. Habbak +4 more
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Electrical Load Forecasting [PDF]
WIT Transactions on Ecology and the Environment, 2010 Some long-term design activities are based on electrical load forecasting. Forecasting errors result in the wrong decisions being made in the future. At present there are three widely used methods of forecasting: the method based on enlarged specific indexes (ESI), the econometric method and the self-sufficient method.
Eroshenko, S. A. +2 more
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Probabilistic Interval Forecasting of Power Load Based on Structured Load Model
Zhongguo dianli, 2021 Probability interval forecasting has become one of the main methods for power load forecasting because of the uncertainties of power load. In order to solve the problem that the conventional probability interval forecasting methods cannot consider the ...
Chuanjun PANG +3 more
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Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review
Energies, 2023 The smart grid concept is introduced to accelerate the operational efficiency and enhance the reliability and sustainability of power supply by operating in self-control mode to find and resolve the problems developed in time.
Fanidhar Dewangan +2 more
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IEEE Access, 2021 Load forecasting has always been an essential part of power system planning and operation. In recent decades, the competition of the market and the requirements of renewable integration lead more attention to probabilistic load forecasting methods, which
Zhengbang Jiang +6 more
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Review of multiple load forecasting method for integrated energy system
Frontiers in Energy Research, 2023 In order to further improve the efficiency of energy utilization, Integrated Energy Systems (IES) connect various energy systems closer, which has become an important energy utilization mode in the process of energy transition.
Yujiao Liu +5 more
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IEEE Access, 2023 Short-term load forecasting is mainly utilized in control centers to explore the changing patterns of consumer loads and predict the load value at a certain time in the future. It is one of the key technologies for the smart grid implementation. The load
Xinfang Chen +4 more
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