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Computational intelligence approaches for energy load forec..:

Fallah, Seyedeh Narjes ; Deo, Ravinesh Chand ; Shojafar, Mohammad..
https://research.usq.edu.au/download/e7586ad18c2dfe7b75fab64729af1bdd3b7b7b5e213f055f35fb28c26a76f2df/1775775/Fallah%20Deo%20et%20al%202018%20-%20Computational%20Intelligence%20Approaches%20for%20Energy%20Load%20Forecasting%20in%20Smart%20Grid%20Energy%20Managment%20Grids.pdf. , 2018

Link: https://research.usq.edu.au/item/q49wq/computational-i..

RT Journal
T1 <Title>Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research directions and Research Directions</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftusqland:oai:research.usq.edu.au:q49wq&Exemplar=1&LAN=DE
				
A1 Fallah, Seyedeh Narjes
A1 Deo, Ravinesh Chand
A1 Shojafar, Mohammad
A1 Conti, Mauro
A1 Shamshirband, Shahaboddin
PB MDPI AG
YR 2018
K1 smart grid
K1 load forecasting
K1 machine learning
K1 computational intelligence (CI)
K1 demand-side management
JF https://research.usq.edu.au/download/e7586ad18c2dfe7b75fab64729af1bdd3b7b7b5e213f055f35fb28c26a76f2df/1775775/Fallah%20Deo%20et%20al%202018%20-%20Computational%20Intelligence%20Approaches%20for%20Energy%20Load%20Forecasting%20in%20Smart%20Grid%20Energy%20Managment%20Grids.pdf
LK http://dx.doi.org/https://research.usq.edu.au/item/q49wq/computational-intelligence-approaches-for-energy-load-forecasting-in-smart-energy-management-grids-state-of-the-art-future-challenges-and-research-directions-and-research-directions
DO https://research.usq.edu.au/item/q49wq/computational-intelligence-approaches-for-energy-load-forecasting-in-smart-energy-management-grids-state-of-the-art-future-challenges-and-research-directions-and-research-directions
SF ELIB - SuUB Bremen

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