[HTML][HTML] Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review
Recent years have seen an increasing interest in Demand Response (DR) as a means to
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
provide flexibility, and hence improve the reliability of energy systems in a cost-effective way …
[HTML][HTML] Next frontiers in energy system modelling: A review on challenges and the state of the art
Abstract Energy Systems Modelling is growing in relevance on providing insights and
strategies to plan a carbon-neutral future. The implementation of an effective energy …
strategies to plan a carbon-neutral future. The implementation of an effective energy …
Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game
An operating entity utilizing community-integrated energy systems with a large number of
small-scale distributed energy sources can easily trade with existing distribution markets. To …
small-scale distributed energy sources can easily trade with existing distribution markets. To …
Reinforcement learning for demand response: A review of algorithms and modeling techniques
Buildings account for about 40% of the global energy consumption. Renewable energy
resources are one possibility to mitigate the dependence of residential buildings on the …
resources are one possibility to mitigate the dependence of residential buildings on the …
Hierarchical optimal scheduling method for regional integrated energy systems considering electricity-hydrogen shared energy
Q Li, X **ao, Y Pu, S Luo, H Liu, W Chen - Applied Energy, 2023 - Elsevier
Shared energy storage is widely recognized as an energy hub for the coordinated operation
of regional integrated energy systems (RIESs). Multi-energy systems (MESs) share …
of regional integrated energy systems (RIESs). Multi-energy systems (MESs) share …
[HTML][HTML] Coordinated optimization scheduling operation of integrated energy system considering demand response and carbon trading mechanism
P Yang, H Jiang, C Liu, L Kang, C Wang - International Journal of Electrical …, 2023 - Elsevier
The low-carbon economy operation of the integrated energy system can be realized by
introducing the demand response and carbon trading mechanism into the optimal …
introducing the demand response and carbon trading mechanism into the optimal …
A review on the integrated optimization techniques and machine learning approaches for modeling, prediction, and decision making on integrated energy systems
The optimal co-planning of the integrated energy system (IES) and machine learning (ML)
application on the multivariable prediction of IES parameters have mostly been carried out …
application on the multivariable prediction of IES parameters have mostly been carried out …
A critical survey of integrated energy system: Summaries, methodologies and analysis
D Song, W Meng, M Dong, J Yang, J Wang… - Energy Conversion and …, 2022 - Elsevier
With a rapid growth of Integrated Energy System (IES) in various scenarios, researches on
IES have attracted extensive attention in the last few decades. Inspired by the ever …
IES have attracted extensive attention in the last few decades. Inspired by the ever …
A comprehensive review of security-constrained unit commitment
Security-constrained unit commitment (SCUC) has been extensively studied as a key
decision-making tool to determine optimal power generation schedules in the operation of …
decision-making tool to determine optimal power generation schedules in the operation of …
[HTML][HTML] Demand response and other demand side management techniques for district heating: A review
E Guelpa, V Verda - Energy, 2021 - Elsevier
If demand side management in electricity grid is a well known concept, the application to
district heating systems (ie modifying the thermal demand in order to make it more compliant …
district heating systems (ie modifying the thermal demand in order to make it more compliant …