[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 …
renewable energy technologies and improve efficiencies, leading to the integration of many …
[HTML][HTML] A comprehensive review of fuzzy multi criteria decision making methodologies for energy policy making
I Kaya, M Çolak, F Terzi - Energy Strategy Reviews, 2019 - Elsevier
Energy policy making is one of the most significant issues for countries and it can be
evaluated by using multi-criteria decision making (MCDM) methods. The energy decision …
evaluated by using multi-criteria decision making (MCDM) methods. The energy decision …
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 …
Vulnerability and resilience of urban energy ecosystems to extreme climate events: A systematic review and perspectives
ATD Perera, T Hong - Renewable and Sustainable Energy Reviews, 2023 - Elsevier
We reviewed the present studies on the vulnerability and resilience of the energy ecosystem
(most parts of the energy ecosystem), considering extreme climate events. This study …
(most parts of the energy ecosystem), considering extreme climate events. This study …
[HTML][HTML] Climate resilient interconnected infrastructure: Co-optimization of energy systems and urban morphology
Co-optimization of urban morphology and distributed energy systems is key to curb energy
consumption and optimally exploit renewable energy in cities. Currently available …
consumption and optimally exploit renewable energy in cities. Currently available …
[HTML][HTML] GIScience can facilitate the development of solar cities for energy transition
The energy transition is increasingly being discussed and implemented to cope with the
growing environmental crisis. However, great challenges remain for effectively harvesting …
growing environmental crisis. However, great challenges remain for effectively harvesting …
A multi-objective robust scheduling model and solution algorithm for a novel virtual power plant connected with power-to-gas and gas storage tank considering …
L Ju, R Zhao, Q Tan, Y Lu, Q Tan, W Wang - Applied Energy, 2019 - Elsevier
Abstract Power-to-gas (P2G) provides a new means for accommodating abandoned new
energy that will support the optimal operation of virtual power plants (VPPs) in the future. In …
energy that will support the optimal operation of virtual power plants (VPPs) in the future. In …
Integrated assessment of a sustainable microgrid for a remote village in hilly region
The complexity in the design of sustainable microgrids based on renewable energy sources
have increased recently due to the involvement of multiple performance indices, scenarios …
have increased recently due to the involvement of multiple performance indices, scenarios …
Multi-objective two-stage adaptive robust planning method for an integrated energy system considering load uncertainty
An integrated energy system (IES) is considered as an effective approach to reduce carbon
emissions, lower energy supply costs and increase system flexibility. As numerous energy …
emissions, lower energy supply costs and increase system flexibility. As numerous energy …
[HTML][HTML] Designing climate resilient energy systems in complex urban areas considering urban morphology: A technical review
The urban energy infrastructure is facing a rising number of challenges due to climate
change and rapid urbanization. In particular, the link between urban morphology and energy …
change and rapid urbanization. In particular, the link between urban morphology and energy …