A systematic review of building electricity use profile models
The building sector contributes significantly to overall energy consumption and carbon
emissions. Improving renewable energy utilization in buildings is of considerable …
emissions. Improving renewable energy utilization in buildings is of considerable …
Demand-side flexibility in power systems: A survey of residential, industrial, commercial, and agricultural sectors
H Golmohamadi - Sustainability, 2022 - mdpi.com
In recent years, environmental concerns about climate change and global warming have
encouraged countries to increase investment in renewable energies. As the penetration of …
encouraged countries to increase investment in renewable energies. As the penetration of …
[HTML][HTML] Evaluating demand charges as instruments for managing peak-demand
F El Gohary, B Stikvoort, C Bartusch - Renewable and Sustainable Energy …, 2023 - Elsevier
Reducing peak demand in distribution grids is associated with benefits such as delayed
infrastructural investments, decreased losses and a reduced risk of power deficits. One …
infrastructural investments, decreased losses and a reduced risk of power deficits. One …
[HTML][HTML] Evaluating the effects of the COVID-19 pandemic on electricity consumption patterns in the residential, public, commercial and industrial sectors in Sweden
The COVID-19 pandemic has had drastic effects on societies around the world. Due to
restrictions or recommendations, companies, industries and residents experienced changes …
restrictions or recommendations, companies, industries and residents experienced changes …
Differentiated pricing for the retail electricity provider optimizing demand response to renewable energy fluctuations
H Li, P Wang, D Fang - Energy Economics, 2024 - Elsevier
As renewable energy expands, its fluctuations challenge grid security. Demand response
(DR) is a crucial solution for ensuring grid stability. This paper designs a two-stage …
(DR) is a crucial solution for ensuring grid stability. This paper designs a two-stage …
Improving the representation of energy efficiency in an energy system optimization model
Energy system optimization models (ESOMs) are designed to examine the potential effects
of a proposed policy, but often represent energy-efficient technologies and policies in an …
of a proposed policy, but often represent energy-efficient technologies and policies in an …
[HTML][HTML] Neural-assisted HVACs optimal scheduling for renewable energy communities
Renewable energy communities (RECs) show a high potential for the efficient use of
distributed energy technologies at local levels according to the Clean Energy Package of the …
distributed energy technologies at local levels according to the Clean Energy Package of the …
Distributed prosumer trading in the electricity and carbon markets considering user utility
With the promotion of distributed energy trading and the transformation of power system
operation mode, prosumers in the carbon and electricity markets face new opportunities and …
operation mode, prosumers in the carbon and electricity markets face new opportunities and …
Energy dispatch for CCHP system in summer based on deep reinforcement learning
W Gao, Y Lin - Entropy, 2023 - mdpi.com
Combined cooling, heating, and power (CCHP) system is an effective solution to solve
energy and environmental problems. However, due to the demand-side load uncertainty …
energy and environmental problems. However, due to the demand-side load uncertainty …
A novel framework for photovoltaic energy optimization based on supply–demand constraints
Introduction: Distributed power supply has increasingly taken over as the energy industry's
primary development direction as a result of the advancement of new energy technology …
primary development direction as a result of the advancement of new energy technology …