Day-Ahead Electricity Price Forecasting Strategy Based on Machine Learning and Optimization Algorithm

Author:

Sun Caixin1,Pan Xiaofeng1,Li Gang2,Li Pengfei3,Gao Guoqing4,Tian Ye2,Xu Gesheng5

Affiliation:

1. Huaneng Clean Energy Research Institute,Beijing,China

2. Huaneng Group Co.,Ltd, Shanxi Branch,Taiyuan,China

3. Huaneng Shanxi Power Supply Co.,Ltd.,Taiyuan,China

4. Huaneng Shanghai Renewable Corporation Co.,Ltd,Shanghai,China

5. Xi'an FPA Energy Technology Co. Ltd.,Xi'an,China

Publisher

IEEE

Reference13 articles.

1. Application of a new hybrid neuro-evolutionary system for day-ahead price forecasting of electricity markets

2. Day-ahead price forecasting of electricity markets by a new feature selection algorithm and cascaded neural network technique

3. Grey Forecasting Electricity Forward Price;xie;Journal of Grey System,2012

4. Electricity price short-term forecasting using artificial neural networks

5. Short-Time Electricity Price Forecasting Based on Period-Decoupled Price Sequence;zhang;Journal of Electrical Engineering China,2005

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A LASSO-GRBFN-based Method for Electricity Price Forecasting with BSO;IEEJ Transactions on Electronics, Information and Systems;2023-02-01

2. Day-Ahead Market Electricity Price Prediction using Time Series Forecasting;2022 1st International Conference on Sustainable Technology for Power and Energy Systems (STPES);2022-07-04

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