Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

• Main Authors: Sadaei, Hossein Javedani, de Lima e Silva, Petrônio Cândido, Guimarães, Frederico Gadelha, Lee, Muhammad Hisyam
• Format: Article
• Published: Elsevier Ltd. 2019
• Subjects: QA Mathematics
• Online Access: http://eprints.utm.my/id/eprint/87565/; http://dx.doi.org/10.1016/j.energy.2019.03.081
• Institution: Universiti Teknologi Malaysia

We propose a combined method that is based on the fuzzy time series (FTS) and convolutional neural networks (CNN) for short-term load forecasting (STLF). Accordingly, in the proposed method, multivariate time series data which include hourly load data, hourly temperature time series and fuzzified ve...