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Residential Precinct Demand Forecasting Using Optimised Solar Generation and Battery Storage

Percy, Steven, Aldeen, Mohammad and Berry, Adam (2016) Residential Precinct Demand Forecasting Using Optimised Solar Generation and Battery Storage. In: 2015 IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC), 15 November 2015 - 18 November 2015, Brisbane, Queensland.

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Item Type: Conference or Workshop Item (Paper)
ISBN: 9781467381321
Uncontrolled Keywords: machine learning demand model; electricity; forecasting; residential precincts; electrical demand; demand forecast model; adaptive boost regression tree algorithm; battery system; solar system
Subjects: Current > FOR Classification > 0906 Electrical and Electronic Engineering
Current > Division/Research > Institute for Sustainable Industries and Liveable Cities
SWORD Depositor: Symplectic Elements
Depositing User: Symplectic Elements
Date Deposited: 19 Dec 2019 04:51
Last Modified: 19 Dec 2019 04:51
URI: http://vuir.vu.edu.au/id/eprint/39950
DOI: https://doi.org/10.1109/APPEEC.2015.7381039
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Citations in Scopus: 2 - View on Scopus

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