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Combining Probabilistic Load Forecasts [PDF]
IEEE Transactions on Smart Grid, 2018 Probabilistic load forecasts provide comprehensive information about future load uncertainties. In recent years, many methodologies and techniques have been proposed for probabilistic load forecasting.
Hong, Tao +5 more
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Analysis of Influencing Factors of Heat Load of Heating Power Station [PDF]
E3S Web of Conferences, 2021 Heating system load forecasting is very important in heating system planning and formulating heating plans. More accurate load forecasting can obtain greater economic and social benefits for the heating power station. The selection of influencing factors
Lu Yu, Li Rui
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Cost-oriented load forecasting [PDF]
Electric Power Systems Research, 2022 Accurate load prediction is an effective way to reduce power system operation costs. Traditionally, the mean square error (MSE) is a common-used loss function to guide the training of an accurate load forecasting model. However, the MSE loss function is unable to precisely reflect the real costs associated with forecasting errors because the cost ...
Zhang, Jialun, Wang, Yi, Hug, Gabriela
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IEEE Access, 2022 In the past decade, there has been unprecedented growth in distributed generation (DG) to cater to more load demand in the power grid. However, as the volume of these resources in the distribution network (DN) continues to increase, new challenges in ...
Suzana Pil Ramli +6 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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Short-term load forecasting method for power system based on key feature optimization
Zhejiang dianli, 2023 Accurate forecasting of short-term power load is an important condition for the safe and economic operation of the power system. To improve the accuracy of short-term load forecasting for the power system， a short-term load forecasting method based on ...
ZHU Geng +4 more
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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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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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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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A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network
IEEE Access, 2021 In this study, a new technique is proposed to forecast short-term electrical load. Load forecasting is an integral part of power system planning and operation.
Shafiul Hasan Rafi +3 more
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