Results 11 to 20 of about 108,466 (288)

Short-term power load forecasting based on I-GWO-KELM algorithm [PDF]

MATEC Web of Conferences, 2021
In this paper, I-GWO-KELM algorithm is used for short-term power load forecasting. Normalize the power data and meteorological data of the short-term power load, and use GWO to optimize the regularization coefficient of KELM and the RBF kernel parameters.
Chen Xiaoyu, Dong Xiangli, Shi Li
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Short Term Load Forecasting of Power System [PDF]

Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017), 2017
In order to ensure the scientific nature of optimization about power system, it is necessary to improve the load forecasting accuracy. Power system load forecasting is based on accurate statistical data and survey data, starting from the history and current situation of electricity consumption, with a scientific method to predict the future development
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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, WANG Bo, HE Xu, YU Yinshu, BAI Wenbo   +4 more
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A Short-Term Residential Load Forecasting Model Based on LSTM Recurrent Neural Network Considering Weather Features

Energies, 2021
With economic growth, the demand for power systems is increasingly large. Short-term load forecasting (STLF) becomes an indispensable factor to enhance the application of a smart grid (SG).
Yizhen Wang, Ningqing Zhang, Xiong Chen
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A short-term power load forecasting method for industrial sectors based on an improved correlation analysis

Zhejiang dianli, 2023
Accurate forecasting of short-term power load for industrial sectors plays a pivotal role in ensuring the safe and economic operation of regional power grids. To address this critical need， a short-term power load forecasting model in industries based on
YU Yinshu, CHEN Donghai, ZHU Geng, HE Xu, BAI Wenbo   +4 more
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Short-Term Load Forecasting Based on Complementary Ensemble Empirical Mode Decomposition and Long Short-Term Memory

Zhongguo dianli, 2020
With the continuous development of power industry, the importance of load forecasting is becoming more and more obvious. As an important part of load forecasting, short-term load forecasting is of great significance to the dispatching and operation of ...
Huiru ZHAO, Yihang ZHAO, Sen GUO
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A Novel Hybrid Method for Short-Term Power Load Forecasting [PDF]

Journal of Electrical and Computer Engineering, 2016
Influenced by many uncertain and random factors, nonstationary, nonlinearity, and time-variety appear in power load series, which is difficult to forecast accurately. Aiming at locating these issues of power load forecasting, an innovative hybrid method is proposed to forecast power load in this paper.
Yuansheng Huang, Shenhai Huang, Jiayin Song   +2 more
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Short-term Load Forecasting Based On Variational Mode Decomposition And Chaotic Grey Wolf Optimization Improved Random Forest Algorithm

Journal of Applied Science and Engineering, 2022
To enrich short-term load forecasting methods and improve forecasting accuracy, a short-term load forecasting method based on variational mode decomposition and chaotic grey wolf optimization (CGWO) improved random forest (RF) is proposed.
Fan Wang, Chen Chen, Haitao Zhang, Youhua Ma   +3 more
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Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting

Alexandria Engineering Journal, 2020
Short-term power load forecasting plays a key role in power supply systems. Many methods have been used in short-term power load forecasting during the past years. A new short-term power load forecasting method is proposed in this study. First, the study
Fei Wu, Carlo Cattani, Wanqing Song, Enrico Zio   +3 more
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Fusion of Improved Sparrow Search Algorithm and Long Short-Term Memory Neural Network Application in Load Forecasting

Energies, 2021
Load forecasting (LF) is essential in enabling modern power systems’ safety and economical transportation and energy management systems. The dynamic balance between power generation and load in the optimization of power systems is receiving increasing ...
Gwo-Ching Liao
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