Short-term electric load forecasting based on data-driven deep learning techniques

Mohamed Massaoudi, Shady S Refaat, Ines Chihi, Mohamed Trabelsi, Haitham Abu-Rub, Fakhreddine S Oueslati

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society
Pages	2565-2570
Number of pages	6
Publication status	Published - 2020
Externally published	Yes

Cite this

@inproceedings{4987a83ad8514175940bbdb840e800e9,

title = "Short-term electric load forecasting based on data-driven deep learning techniques",

author = "Mohamed Massaoudi and Refaat, {Shady S} and Ines Chihi and Mohamed Trabelsi and Haitham Abu-Rub and Oueslati, {Fakhreddine S}",

year = "2020",

language = "English",

pages = "2565--2570",

booktitle = "IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society",

}

TY - GEN

T1 - Short-term electric load forecasting based on data-driven deep learning techniques

AU - Massaoudi, Mohamed

AU - Refaat, Shady S

AU - Chihi, Ines

AU - Trabelsi, Mohamed

AU - Abu-Rub, Haitham

AU - Oueslati, Fakhreddine S

PY - 2020

Y1 - 2020

M3 - Conference contribution

SP - 2565

EP - 2570

BT - IECON 2020 The 46th Annual Conference of the IEEE Industrial Electronics Society

ER -