Day-ahead forecasting of grid carbon intensity in support of HVAC plant demand response decision-making to reduce carbon emissions

Lowry, G.D. (2018). Day-ahead forecasting of grid carbon intensity in support of HVAC plant demand response decision-making to reduce carbon emissions. Building Services Engineering Research and Technology doi: https://doi.org/10.1177/0143624418774738

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Keywords: demand response, carbon intensity, autoregressive model, artificial neural network, 0905 Civil Engineering, 1202 Building, Building & Construction
Divisions: Schools > Built Environment and Architecture > Civil & Building Services Engineering
DOI: https://doi.org/10.1177/0143624418774738
Date Deposited: 16 Apr 2018 12:58
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CreatorsORCID
Lowry, GD
Item Type: Article
Creators: Lowry, GD
Depositing User: LSBU Open Access Team
Last Modified: 28 Jun 2018 11:19
Item ID: 2064

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Lowry paper final 27 March 18.pdf - Accepted Version
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