Electric Power Load Forecasting Method Based on Contrastive Learning and Attention Mechanism

Author:

Bai Yang1,Yu Tenglong1,Hu Bing1,Chu Hongliang1,Wang Qingwen1

Affiliation:

1. State Grid Jiangxi Electric Power Company Limited,Information and Communication Branch,Nanchang,China

Publisher

IEEE

Reference13 articles.

1. Substation Load Forecasting Based on Adaptive Deep Belief Network [J];Zhiyu,2019

2. Short-term Bus Load Forecasting of Multi-feature Based on Seq2seq Model[J];Yizong,2023

3. Multi-objective optimal scheduling of an integrated home energy system with light storage and charging taking into account differentiated user preferences[J];Puru;Science, Technology and Engineering,2023

4. Combined prediction of ultra-short term wind power considering weighted historical similarity [J];Wuzhi;Journal of Energy Science,2022

5. Research on Short-term Power Load Forecasting in Distribution Area Based on LSTNet Model[J/OL];Jipeng;Electric Drive,2023

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