A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data
For decades, time series forecasting had many applications in various industries such as weather, financial, healthcare, business, retail, and energy consumption forecasting. An accurate prediction in these applications is a very important and also difficult task because of high sampling rates leadi...
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| Format: | Article |
| Language: | English |
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PeerJ Inc.
2022-06-01
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| Series: | PeerJ Computer Science |
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| Online Access: | https://peerj.com/articles/cs-1001.pdf |