A Hybrid Forecasting Model Using LSTM and Prophet for Energy Consumption with Decomposition of Time Series Data

Date

2022

Authors

Journal Title

Journal ISSN

Volume Title

Publisher

PeerJ Inc.

Open Access Color

GOLD

Green Open Access

Yes

OpenAIRE Downloads

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Publicly Funded

No
Impulse
Top 1%
Influence
Top 10%
Popularity
Top 1%

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Abstract

Description

Keywords

Hybrid Model, LSTM, Seasonality, Time Series Forecasting, ProphET, Electronic computers. Computer science, Time series forecasting, Prophet, Data Mining and Machine Learning, Seasonality, QA75.5-76.95, LSTM, Hybrid model

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

WoS Q

Scopus Q

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OpenCitations Citation Count
45

Source

PeerJ Computer Science

Volume

8

Issue

Start Page

e1001

End Page

URI

https://hdl.handle.net/20.500.12416/15886
 https://doi.org/10.7717/PEERJ-CS.1001

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Citations

Scopus : 58

PubMed : 3

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Mendeley Readers : 199

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