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

• Main Authors: Qiu, Xueheng, Suganthan, Ponnuthurai Nagaratnam, Amaratunga, Gehan A. J.
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2018
• Subjects: Kernel Ridge Regression; DRNTU::Engineering::Electrical and electronic engineering; Electricity Price Forecasting
• Online Access: https://hdl.handle.net/10356/89299; http://hdl.handle.net/10220/46162
• Institution: 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...