Utilising Empirical Mode Decomposition, CNN-LSTM Network with Bayesian Optimisation for Accurate Short-term Residential Load Forecasting

Ashkan Lotfipoor; Sandhya Patidar; David P. Jenkins

Utilising Empirical Mode Decomposition, CNN-LSTM Network with Bayesian Optimisation for Accurate Short-term Residential Load Forecasting

Ashkan Lotfipoor, Sandhya Patidar, David P. Jenkins

Research output: Contribution to conference › Other › peer-review

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Original language	English
Publication status	Published - 30 Jun 2022
Event	8th International Conference on Time Series and Forecasting 2022 - Hotel Lopesan, Gran Canaria, Spain Duration: 27 Jun 2022 → 30 Jun 2022 Conference number: 8 https://itise.ugr.es

Conference

Conference	8th International Conference on Time Series and Forecasting 2022
Abbreviated title	ITISE 2022
Country/Territory	Spain
City	Gran Canaria
Period	27/06/22 → 30/06/22
Internet address	https://itise.ugr.es

Keywords

CNN-LSTM
Energy Load
forecasting
Bayesian optimisation
EMPIRICAL MODE DECOMPOSITION

ASJC Scopus subject areas

Artificial Intelligence
Energy (miscellaneous)
Applied Mathematics

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title = "Utilising Empirical Mode Decomposition, CNN-LSTM Network with Bayesian Optimisation for Accurate Short-term Residential Load Forecasting",

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AU - Lotfipoor, Ashkan

AU - Patidar, Sandhya

AU - Jenkins, David P.

N1 - Conference code: 8

PY - 2022/6/30

Y1 - 2022/6/30

KW - CNN-LSTM

KW - Energy Load

KW - forecasting

KW - Bayesian optimisation

KW - EMPIRICAL MODE DECOMPOSITION

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T2 - 8th International Conference on Time Series and Forecasting 2022

Y2 - 27 June 2022 through 30 June 2022

ER -

Utilising Empirical Mode Decomposition, CNN-LSTM Network with Bayesian Optimisation for Accurate Short-term Residential Load Forecasting

Conference

Keywords

ASJC Scopus subject areas

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