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[HTML][HTML] Applications of reinforcement learning in energy systems
Energy systems undergo major transitions to facilitate the large-scale penetration of
renewable energy technologies and improve efficiencies, leading to the integration of many …
renewable energy technologies and improve efficiencies, leading to the integration of many …
Review of optimal methods and algorithms for sizing energy storage systems to achieve decarbonization in microgrid applications
Carbon emission from the burning of fossil fuel has resulted in global warming. Climate
change and global warming are among the most complex issues requiring immediate …
change and global warming are among the most complex issues requiring immediate …
Quantifying the impacts of climate change and extreme climate events on energy systems
Climate induced extreme weather events and weather variations will affect both the demand
of energy and the resilience of energy supply systems. The specific potential impact of …
of energy and the resilience of energy supply systems. The specific potential impact of …
Enhancing operation flexibility of distributed energy systems: A flexible multi-objective optimization planning method considering long-term and temporary objectives
Z Tian, X Li, J Niu, R Zhou, F Li - Energy, 2024 - Elsevier
Flexibility is a crucial capability that distributed energy systems need to possess. Flexible
distributed energy systems can attain the objectives of daily economic operation for users …
distributed energy systems can attain the objectives of daily economic operation for users …
[HTML][HTML] Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems
This study analyzes the factors leading to the deployment of Power-to-Hydrogen (PtH 2)
within the optimal design of district-scale Multi-Energy Systems (MES). To this end, we utilize …
within the optimal design of district-scale Multi-Energy Systems (MES). To this end, we utilize …
Smart energy systems for sustainable smart cities: Current developments, trends and future directions
Within the context of the Smart City, the need for intelligent approaches to manage and
coordinate the diverse range of supply and conversion technologies and demand …
coordinate the diverse range of supply and conversion technologies and demand …
[HTML][HTML] A review on multi energy systems modelling and optimization
G Mancò, U Tesio, E Guelpa, V Verda - Applied Thermal Engineering, 2024 - Elsevier
Over the past decade, energy systems for the combined management of power vectors have
been attracted the attention of the scientific community. Most of the published works aim at …
been attracted the attention of the scientific community. Most of the published works aim at …
Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic …
The parametric uncertainties inherent in the models of renewable and sustainable energy
systems (RSESs) make the associated decision-making processes of integrated resource …
systems (RSESs) make the associated decision-making processes of integrated resource …
Assessment techniques of the impact of grid-tied rooftop photovoltaic generation on the power quality of low voltage distribution network-A review
Many countries have experienced a surge in the level of the penetration of solar PV systems
in the last decade. A huge portion of the newly deployed PV systems are connected to low …
in the last decade. A huge portion of the newly deployed PV systems are connected to low …
[HTML][HTML] A review of mixed-integer linear formulations for framework-based energy system models
Optimization-based frameworks for energy system modeling such as TIMES, ETHOS. FINE,
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …
or PyPSA have emerged as important tools to outline a cost-efficient energy transition …