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

• المؤلفون الرئيسيون: J. Pahasa, N. Theera-Umpon
• التنسيق: وقائع المؤتمر
• منشور في: 2018
• الموضوعات: Energy; Engineering
• الوصول للمادة أونلاين: 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...