An efficient deep model for day-ahead electricity load forecasting with stacked denoising auto-encoders

• Published in: Journal of parallel and distributed computing Vol. 117; pp. 267 - 273
• Main Authors: Tong, Chao, Li, Jun, Lang, Chao, Kong, Fanxin, Niu, Jianwei, Rodrigues, Joel J.P.C.
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.07.2018
• Subjects: Deep learning; Feature extraction; Multi-modal; Stacked denoising auto-encoders; Support vector regression; Deep learning; Feature extraction; Support vector regression; Multi-modal; Stacked denoising auto-encoders

In real word it is quite meaningful to forecast the day-ahead electricity load for an area, which is beneficial to reduction of electricity waste and rational arrangement of electric generator units. The deployment of various sensors strongly pushes this forecasting research into a “big data” era fo...