Results 1 to 10 of about 536,403 (288)
Energies, 2022 The complexity and uncertainty of the distribution system are increasing as the connection of distributed power sources using solar or wind energy is rapidly increasing, and digital loads are expanding. As these complexity and uncertainty keep increasing
Jintae Cho +5 more
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Frontiers in Energy Research, 2021 Medium-and long-term load forecasting in the distribution network has important guiding significance for overload warning of distribution transformer, transformation of distribution network and other scenarios.
Daolu Zhang +11 more
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Entropy, 2021 This study uses the fourteen stock indices as the sample and then utilizes eight parametric volatility forecasting models and eight composed volatility forecasting models to explore whether the neural network approach and the settings of leverage effect ...
Jung-Bin Su
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Shanghai Jiaotong Daxue xuebao, 2021 At present, new elements such as distributed new energy and electric vehicles have emerged in the distribution network, which changes the composition of loads, enriches the connotation of loads, and poses severe challenges to load forecasting.
TAN Jia, LI Zhiyi, YANG Huan, ZHAO Rongxiang, JU Ping
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Mathematics, 2023 The accurate forecasting of metal prices is of great importance to industrial producers as the supply of metal raw materials is a very important part of industrial production.
Yifei Zhao +3 more
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Atmosphere, 2023 Wind speed forecasting is advantageous in reducing wind-induced accidents or disasters and increasing the capture of wind power. Accordingly, this forecasting process has been a focus of research in the field of engineering.
Xuhui He +3 more
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Precision and Reliability of Forecasts Performance Metrics
Forecasting, 2022 The selection of an accurate performance metric is highly important to evaluate the quality of a forecasting method. This evaluation may help to select between different forecasting tools of forecasting outputs, and then support many decisions within a ...
Philippe St-Aubin, Bruno Agard
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Hydrological drought forecasting under a changing environment in the Luanhe River basin [PDF]
Natural Hazards and Earth System Sciences, 2023 Forecasting the occurrence of hydrological drought according to a forecasting system is an important disaster reduction strategy. In this paper, a new drought prediction model adapted to changing environments was constructed.
M. Li +6 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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On improved fitting using a new probability distribution and artificial neural network: Application
AIP Advances, 2023 Statistical modeling and forecasting are crucial to understanding the depth of information in data from all sources. For precision purposes, researchers are always in search of ways to improve the quality of modeling and forecasting, whatever the ...
Sanaa Al-Marzouki +5 more
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