Deep learning-based short-term load forecasting approach in smart grid with clustering and consumption pattern recognition

Dabeeruddin Syed; Haitham Abu-Rub; Ali Ghrayeb; Shady S Refaat; Mahdi Houchati; Othmane Bouhali; Santiago Bañales

Deep learning-based short-term load forecasting approach in smart grid with clustering and consumption pattern recognition

Dabeeruddin Syed
, Haitham Abu-Rub
, Ali Ghrayeb
, Shady S Refaat
, Mahdi Houchati
, Othmane Bouhali
, Santiago Bañales

Research output: Contribution to journal › Article › peer-review

103 Citations (Scopus)

Original language	English
Pages (from-to)	54992-55008
Number of pages	17
Journal	IEEE Access
Volume	9
Publication status	Published - 2021

Cite this

@article{17b793b45ca44864951b3fba4eb01164,

title = "Deep learning-based short-term load forecasting approach in smart grid with clustering and consumption pattern recognition",

author = "Dabeeruddin Syed and Haitham Abu-Rub and Ali Ghrayeb and Refaat, \{Shady S\} and Mahdi Houchati and Othmane Bouhali and Santiago Ba{\~n}ales",

year = "2021",

language = "English",

volume = "9",

pages = "54992--55008",

journal = "IEEE Access",

issn = "2169-3536",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

}

TY - JOUR

T1 - Deep learning-based short-term load forecasting approach in smart grid with clustering and consumption pattern recognition

AU - Syed, Dabeeruddin

AU - Abu-Rub, Haitham

AU - Ghrayeb, Ali

AU - Refaat, Shady S

AU - Houchati, Mahdi

AU - Bouhali, Othmane

AU - Bañales, Santiago

PY - 2021

Y1 - 2021

M3 - Article

SN - 2169-3536

VL - 9

SP - 54992

EP - 55008

JO - IEEE Access

JF - IEEE Access

ER -