Results 11 to 20 of about 29,272 (313)
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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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, 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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A load forecasting method for building air conditioning based on multi-stage attention mechanism
Zhejiang dianli, 2023 Load forecasting of building air conditioning is of great significance for improving the accuracy of power load forecasting of buildings and regional distribution networks. In order to improve the load forecasting accuracy of building air conditioning， a
CHEN Donghai +4 more
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Efficient building load forecasting [PDF]
ETFA2011, 2011 The arrival of the smart grid paradigm has brought a number of novel initiatives that aim at increasing the level of energy efficiency of buildings such as smart metering or demand side management. Still, all of them demand an accurate load estimation.
Iván Fernández 0001 +2 more
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Frontiers in Energy Research, 2021 Electric load forecasting is a prominent topic in energy research. Support vector regression (SVR) has extensively and successfully achieved good performance in electric load forecasting.
Rui Wang +3 more
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Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling
Energy Reports, 2022 Short-term power load forecasting plays a vital role in the planning of distribution network and the development of social economy. Many researchers have devoted their attention to construct point forecasting models.
Ling Xiao, Miaotong Li, Shenghui Zhang
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Probabilistic Load Forecasting With Reservoir Computing
IEEE Access, 2023 Some applications of deep learning require not only to provide accurate results but also to quantify the amount of confidence in their prediction. The management of an electric power grid is one of these cases: to avoid risky scenarios, decision-makers need both precise and reliable forecasts of, for example, power loads.
Michele Guerra +2 more
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Load forecasting of supermarket refrigeration [PDF]
Applied Energy, 2016 This paper presents a study of models for forecasting the electrical load for supermarket refrigeration. The data used for building the models consists of load measurements, local climate measurements and weather forecasts. The load measurements are from a supermarket located in a village in Denmark.
Rasmussen, Lisa Buth +5 more
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Combining Probabilistic Load Forecasts [PDF]
IEEE Transactions on Smart Grid, 2019 Submitted to IEEE Transactions on Smart ...
Yi Wang 0022 +5 more
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