A multiprocessing-based sensitivity analysis of machine learning algorithms for load forecasting of electric power distribution system

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

A multiprocessing-based sensitivity analysis of machine learning algorithms for load forecasting of electric power distribution system

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

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

42 Citations (Scopus)

Original language	English
Pages (from-to)	31684-31694
Number of pages	11
Journal	IEEE Access
Volume	9
Publication status	Published - 2021

Cite this

@article{f69d86b3ce6c4d82a9696e0e882754ad,

title = "A multiprocessing-based sensitivity analysis of machine learning algorithms for load forecasting of electric power distribution system",

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

year = "2021",

language = "English",

volume = "9",

pages = "31684--31694",

journal = "IEEE Access",

issn = "2169-3536",

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

}

TY - JOUR

T1 - A multiprocessing-based sensitivity analysis of machine learning algorithms for load forecasting of electric power distribution system

AU - Zainab, Ameema

AU - Syed, Dabeeruddin

AU - Ghrayeb, Ali

AU - Abu-Rub, Haitham

AU - Refaat, Shady S

AU - Houchati, Mahdi

AU - Bouhali, Othmane

AU - Lopez, Santiago Bañales

PY - 2021

Y1 - 2021

M3 - Article

SN - 2169-3536

VL - 9

SP - 31684

EP - 31694

JO - IEEE Access

JF - IEEE Access

ER -