Short-term load forecasting using wavelet transform and support vector machines

• Main Authors: J. Pahasa, N. Theera-Umpon
• 格式: Conference Proceeding
• 出版: 2018
• 主題: Energy; Engineering
• 在線閱讀: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=51349163996&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/61041

This paper presents a new technique in short-term load forecasting (STLF.) The proposed method consists of the discrete wavelet transform (DWT) and support vector machines (SVMs.) The DWT splits up load time series into low and high frequency components to be the features for the SVMs. The SVMs then...