[HTML][HTML] Applications of reinforcement learning in energy systems

ATD Perera, P Kamalaruban - Renewable and Sustainable Energy …, 2021 - Elsevier
Energy systems undergo major transitions to facilitate the large-scale penetration of
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

MA Hannan, M Faisal, PJ Ker, RA Begum… - … and Sustainable Energy …, 2020 - Elsevier
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 …

Quantifying the impacts of climate change and extreme climate events on energy systems

ATD Perera, VM Nik, D Chen, JL Scartezzini, T Hong - Nature Energy, 2020 - nature.com
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 …

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 …

[HTML][HTML] Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems

I Petkov, P Gabrielli - Applied Energy, 2020 - Elsevier
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 …

Smart energy systems for sustainable smart cities: Current developments, trends and future directions

E O'Dwyer, I Pan, S Acha, N Shah - Applied energy, 2019 - Elsevier
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 …

[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 …

Demand response-integrated investment and operational planning of renewable and sustainable energy systems considering forecast uncertainties: A systematic …

S Mohseni, AC Brent, S Kelly, WN Browne - Renewable and Sustainable …, 2022 - Elsevier
The parametric uncertainties inherent in the models of renewable and sustainable energy
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

A Kharrazi, V Sreeram, Y Mishra - Renewable and Sustainable Energy …, 2020 - Elsevier
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 …

[HTML][HTML] A review of mixed-integer linear formulations for framework-based energy system models

M Hoffmann, BU Schyska, J Bartels, T Pelser… - Advances in Applied …, 2024 - Elsevier
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 …