Peak-Load Forecasting for Small Industries: A Machine Learning Approach

• Published in: Sustainability Vol. 12; no. 16; p. 6539
• Main Authors: Kim, Dong-Hoon, Lee, Eun-Kyu, Qureshi, Naik Bakht Sania
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2020
• Subjects: Accuracy; Building automation; Feature selection; Forecasting techniques; Humidity; Machine learning; Mathematical models; Methods; Precipitation; Seasonal variations; Sustainability; Trends; Variables

Peak-load forecasting prevents energy waste and helps with environmental issues by establishing plans for the use of renewable energy. For that reason, the subject is still actively studied. Most of these studies are focused on improving predictive performance by using varying feature information, b...