Research on Day-Ahead Electricity Price Forecasting Method of New Energy Based on Multi-Information Fusion
Author:
Affiliation:
1. Shenyang Institute of Engineering,School of Electrical Engineering,Shenyang,China
2. Shenyang Jiayue Electric Power Technology Co., Ltd.,Technique Department,Shenyang,China
Funder
Technology Development
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10256662/10256687/10257172.pdf?arnumber=10257172
Reference12 articles.
1. IWPA-LSSVM photovoltaic power prediction considering weather types and similar days [J];xu;China Electric Power,2023
2. Short-term wind power prediction based on VMD and IBA-LSSVM [J];wang;Journal of Hehai University,2021
3. On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market
4. Medium-term power load forecasting based on ARIMA-LIBSVM [J];li;Journal of Shenyang Institute of Engineering,2023
5. Short-term electricity price forecasting of electricity market under high proportion of wind power [J];lv;Science and Technology and Engineering,2021
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