Short-term electricity price forecasting with empirical mode decomposition based ensemble Kernel machines

• Main Authors: Qiu, Xueheng, Suganthan, Ponnuthurai Nagaratnam, Amaratunga, Gehan A. J.
• 其他作者: School of Electrical and Electronic Engineering
• 格式: Article
• 語言: English
• 出版: 2018
• 主題: Kernel Ridge Regression; DRNTU::Engineering::Electrical and electronic engineering; Electricity Price Forecasting
• 在線閱讀: https://hdl.handle.net/10356/89299; http://hdl.handle.net/10220/46162
• 機構: Nanyang Technological University

Short-term electricity price forecasting is a critical issue for the operation of both electricity markets and power systems. An ensemble method composed of Empirical Mode Decomposition (EMD), Kernel Ridge Regression (KRR) and Support Vector Regression (SVR) is presented in this paper. For this purp...