Load Forecasting based on Deep Long Short-term Memory with Consideration of Costing Correlated Factor

Abstract

Guangdong University of Technology, Guangzhou, China, Grant from the Financial and Education Department of Guangdong Province 2016[202]: Key Discipline Construction Programme; Education Department of Guangdong Province: New and integrated energy system theory and technology research group, project number 2016KCXTD022; National Science Foundation of China: A Time-Based-Demand- Response Program of Compensated Multiple-Shape Pricing Scheme, Grant No. 51707041; State Grid Technology Project: the Smart Monitoring Techniques Research in Self- Correlated Framework for Power Utility (Grant No. 5211011600RJ); Education Department of Guangdong Province: The Power Market Advanced Service for Load Monitoring Technologies, 2016KQNCX047