[HTML][HTML] Community stochastic domestic electricity forecasting
A Amin, M Mourshed - Applied Energy, 2024 - Elsevier
The domestic sector is a significant energy consumer–accounting for around 40% of global
electricity demand–due to household demand diversity and complexity. An accurate and …
electricity demand–due to household demand diversity and complexity. An accurate and …
[PDF][PDF] TABEDE: A new solution to advance demand response, clean energy and cost savings
In this paper, authors share preliminary findings from TABEDE (Towards Buildings Ready for
Demand Response), an innovative, 3-year Horizon 2020 R&D program that aims to scale …
Demand Response), an innovative, 3-year Horizon 2020 R&D program that aims to scale …
TABEDE: A new solution for demand response, clean energy & cost savings
In this paper, authors share preliminary findings from TABEDE (Towards Buildings Ready for
Demand Response), an innovative, 3-year Horizon 2020 R&D program that aims to scale …
Demand Response), an innovative, 3-year Horizon 2020 R&D program that aims to scale …
A bottom-up approach for district-level domestic energy demand forecasting
A Amin, M Mourshed - 2021 - IET
An accurate district electricity load is crucial to ensure the optimal design and operation of
Distributed Energy System (DES). Therefore, a bottom-up physics-based model of district …
Distributed Energy System (DES). Therefore, a bottom-up physics-based model of district …
Stochastic community domestic energy modelling
A Amin - 2022 - orca.cardiff.ac.uk
The residential sector is a stochastic energy consumer due to the diversity and complexity of
individual household energy demand, which is responsible for around 40% of global …
individual household energy demand, which is responsible for around 40% of global …