A Hybrid Forecasting Model Using LSTM and Prophet for Energy Consumption with Decomposition of Time Series Data
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Date
2022
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
PeerJ Inc.
Open Access Color
GOLD
Green Open Access
Yes
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Top 1%
Influence
Top 10%
Popularity
Top 1%
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
OpenCitations Citation Count
45
Source
PeerJ Computer Science
Volume
8
Issue
Start Page
e1001
End Page
Collections
PlumX Metrics
Citations
Scopus : 58
PubMed : 3
Captures
Mendeley Readers : 199
SCOPUS™ Citations
59
checked on Apr 11, 2026
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