Results 11 to 20 of about 17,048 (267)
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 ...
Jialun Zhang, Yi Wang 0022, Gabriela Hug
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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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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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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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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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Load forecasting method considering temperature effect for distribution network
MATEC Web of Conferences, 2016 To improve the accuracy of load forecasting, the temperature factor was introduced into the load forecasting in this paper. This paper analyzed the characteristics of power load variation, and researched the rule of the load with the temperature change ...
Meng Xiao Fang +3 more
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Energies, 2023 With the rapid development of smart grids and distributed energy sources, the home energy management system (HEMS) is becoming a hot topic of research as a hub for connecting customers and utilities for energy visualization.
Ping Ma +4 more
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A short-term load forecasting taking into account the correlation of integrated energy load [PDF]
E3S Web of Conferences, 2020 This paper proposes a short-term load forecasting method that takes into account the correlation of integrated energy load. The method use wavelet packet to decompose the electric cooling and heating load in frequency bands, analyze the cross-correlation
Qi Xianjun, Chen Qinghui, Zheng Xiwei
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