Day-Ahead Load Forecasting Method Considering Cumulative Effect of Temperature

Author:

Ye Qiang1,Cai Yuqing1,Chen Wuxiao1,Jiang Zhijun1,Cai Jiaxin1,Liu Kai2

Affiliation:

1. State Grid Fujian Marketing Service Center (Metering Center and Integrated Capital Center),Fujian,China

2. Beijing SG-EPRI UHV Transmission Technology Company, Ltd,Technical Support Department,Beijing,China,100000

Publisher

IEEE

Reference11 articles.

1. Short-Term Electricity Load Forecasting Based on Dimension Reduction of Meteorological Data and Hybrid Deep Learning;Hongtao;Electric Power Construction,2024

2. Investigation into the Impact of Temperature Changes on Electricity Load and Prediction Methods;Siyuan;Electric Technology and Economy,2023

3. WOA-TCN Building IES Multivariate Load Forecast Considering Meteorological Factors;Jun;Electric Era,2023

4. Temperature-Sensitive Load Prediction Based on Multi-Factor Correlation Analysis;Shujun;Zhejiang Electric Power,2023

5. Research on Electricity Load Prediction Considering Temperature Accumulation Effects Based on LS-SVMR;Zhiwei;Journal of Shantou University (Natural Science Edition),2023

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