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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| Format: | Article |
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Elsevier Ltd.
2019
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