Data Feature Processing and Improved Informer for Medium and Long-Term Electrical Power Forecasting
Author:
Affiliation:
1. State Grid Fujian Marketing Service Center (Metering Center and Integrated Capital Center),Fuzhou,China
2. State Grid Fuzhou Power Supply Company,Fuzhou,China
3. State Grid Energy Research Institute Co., LTD,Beijing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10601630/10601669/10602192.pdf?arnumber=10602192
Reference9 articles.
1. Short-term hybrid forecasting model of ice storage air-conditioning based on improved SVR
2. A hybrid model approach for forecasting future residential electricity consumption
3. A review of thermal comfort models and indicators for indoor environments
4. Short-term load forecasting via ARMA model identification including non-gaussian process considerations
5. Heat load prediction through recurrent neural network in district heating and cooling systems
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