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...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Published: |
Elsevier Ltd.
2019
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/87565/ http://dx.doi.org/10.1016/j.energy.2019.03.081 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|