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Intelligent Systems for Power Load Forecasting: A Study Review [PDF]

open access: yesEnergies, 2020
The study of power load forecasting is gaining greater significance nowadays, particularly with the use and integration of renewable power sources and external power stations. Power forecasting is an important task in the planning, control, and operation
Ibrahim Salem Jahan   +2 more
doaj   +3 more sources

Short-term power load interval forecasting based on nonparametric Bootstrap errors sampling

open access: yesEnergy 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
doaj   +3 more sources

Construction and Application of Short-Term and Mid-Term Power System Load Forecasting Model Based on Hybrid Deep Learning

open access: yesIEEE Access, 2023
Power system load forecasting model plays an important role in all aspects of power system planning, operation and control. Therefore, accurate power load forecasting provides an important guarantee for the stable operation of the power grid system. This
Hongsheng Xu   +3 more
doaj   +3 more sources

Research on power load forecasting model of economic development zone based on neural network

open access: yesEnergy Reports, 2021
The power load forecasting model can calculate the predicted value accurately and quickly, which will be helpful to distribute the power reasonably and improve the stability of the power grid.
Qiming Feng, Suping Qian
doaj   +3 more sources

A methodology for Electric Power Load Forecasting

open access: yesAEJ - Alexandria Engineering Journal, 2011
AbstractElectricity demand forecasting is a central and integral process for planning periodical operations and facility expansion in the electricity sector. Demand pattern is almost very complex due to the deregulation of energy markets. Therefore, finding an appropriate forecasting model for a specific electricity network is not an easy task ...
Hassan Soltan
exaly   +3 more sources

Power Load Forecasting based on the Parallel Chaos Algorithm

open access: yesChemical Engineering Transactions, 2016
The power load forecasting is an important part of the power system planning and the operation research. With the continuous increase of the power consumption in China, the research of the power load forecasting has been paid by the people.
X. Chang, B.X. Li
doaj   +2 more sources

Analysis of Influencing Factors of Heat Load of Heating Power Station [PDF]

open access: yesE3S 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
doaj   +1 more source

Medium- and long-term power load forecasting model [PDF]

open access: yesE3S Web of Conferences, 2023
Power load is an important part of power system, and power load forecasting has an important impact on power system analysis, design and control. With the development of smart micro grid, load forecasting has gradually become an important module in the ...
Zhu Yuning   +4 more
doaj   +1 more source

Short-term load forecasting method for power system based on key feature optimization

open access: yesZhejiang 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
doaj   +1 more source

Probabilistic Interval Forecasting of Power Load Based on Structured Load Model

open access: yesZhongguo 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
doaj   +1 more source

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