Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage-Reference-Cited by-同舟云学术

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Impact of data for forecasting on performance of model predictive control in buildings with smart energy storage

Published:2024-10 Issue: Volume:320 Page:114605
ISSN:0378-7788
Container-title:Energy and Buildings
language:en
Short-container-title:Energy and Buildings

Author:

Langtry Max^ORCID,Wichitwechkarn Vijja^ORCID,Ward Rebecca^ORCID,Zhuang Chaoqun^ORCID,Kreitmair Monika J.^ORCID,Makasis Nikolas^ORCID,Xuereb Conti Zack^ORCID,Choudhary Ruchi

Funder

EPSRC

Publisher

Elsevier BV

Reference67 articles.

1. Clean Energy Progress 2023;Tracking,2023

2. The Sixth Carbon Budget the UK's Path to Net Zero,2020

3. Building decarbonization: assessing the potential of building-integrated photovoltaics and thermal energy storage systems;Amini Toosi;Energy Rep.,2022

4. The Demand-Side Opportunity: the Roles of Distributed Solar and Building Energy Systems in a Decarbonized Grid;O'Shaughnessey,2021

5. A review of distributed energy system optimization for building decarbonization;Zhu;J. Build. Eng.,2023

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