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

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...

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