Hourly Solar Irradiance Prediction Based on Support Vector Machine and Its Error Analysis

• Published in: IEEE transactions on power systems Vol. 32; no. 2; pp. 935 - 945
• Main Authors: Bae, Kuk Yeol, Jang, Han Seung, Sung, Dan Keun
• Format: Journal Article
• Language: English
• Published: IEEE 01.03.2017
• Subjects: classification; Clouds; Clustering algorithms; energy storage system (ESS); Error analysis; Meteorology; photovoltaic; Power generation; Prediction; solar irradiance; support vector machine (SVM); Support vector machines; Training

Due to a variability and uncertainty of photovoltaic (PV) output power, PV operators may be subject to significant penalties on forthcoming energy markets. Thus, the accurate prediction of PV output power plays a very important role in energy market. This paper proposes a novel solar prediction sche...