Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm-Reference-Cited by-同舟云学术

Day-Ahead Electricity Demand Forecasting Competition: Post-COVID Paradigm

Author:

Farrokhabadi Mostafa¹^ORCID,Browell Jethro²^ORCID,Wang Yi³^ORCID,Makonin Stephen⁴^ORCID,Su Wencong⁵^ORCID,Zareipour Hamidreza⁶^ORCID

Affiliation:

1. BluWave-ai, Ottawa, ON, Canada

2. School of Mathematics and Statistics, University of Glasgow, Glasgow, U.K.

3. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, SAR, China

4. Engineering Science Department, Simon Fraser University (SFU), Burnaby, BC, Canada

5. Department of Electrical and Computer Engineering, University of Michigan-Dearborn, Dearborn, MI, USA

6. Department of Electrical and Software Engineering, University of Calgary, Calgary, AB, Canada

Funder

IEEE DataPort

IEEE Power and Energy Society Power System Operation, Planning, and Economics Working Group on Energy Forecasting and Analytics

IEEE Foundation Donor Supported Program

Engineering and Physical Sciences Research Council (EPSRC) Innovation Fellowship

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

Reference23 articles.

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