How to better share energy towards a carbon-neutral city? A review on application strategies of battery energy storage system in city
Despite the recent market growth and price reduction of technologies for a battery energy
storage system (BESS), many technological, operational, and managerial challenges still …
storage system (BESS), many technological, operational, and managerial challenges still …
[HTML][HTML] A taxonomy of machine learning applications for virtual power plants and home/building energy management systems
A Virtual power plant is defined as an information and communications technology system
with the following primary functionalities: enhancing renewable power generation …
with the following primary functionalities: enhancing renewable power generation …
Occupant-centered real-time control of indoor temperature using deep learning algorithms
This study aims to propose Real-COMFORT-a novel occupant-centered real-time indoor
temperature control system using deep learning algorithms to simultaneously optimize the …
temperature control system using deep learning algorithms to simultaneously optimize the …
Recent advances in black box and white-box models for urban heat island prediction: Implications of fusing the two methods
The urban heat island (UHI) phenomenon is a serious concern for urban planners and
policymakers, requiring effective and efficient mitigation policies. To develop such policies …
policymakers, requiring effective and efficient mitigation policies. To develop such policies …
Configuration optimization of an off-grid multi-energy microgrid based on modified NSGA-II and order relation-TODIM considering uncertainties of renewable energy …
Z Lu, Y Gao, C Xu, Y Li - Journal of Cleaner Production, 2023 - Elsevier
This study develops a two-stage hybrid decision framework to configure an off-grid multi-
energy microgrid (MEMG) while considering uncertainties in renewable energy resources …
energy microgrid (MEMG) while considering uncertainties in renewable energy resources …
A bi-level reinforcement learning model for optimal scheduling and planning of battery energy storage considering uncertainty in the energy-sharing community
Sharing of battery energy storage systems (BESS) in the energy community by reflecting the
real world can play a significant role in achieving carbon neutrality. Therefore, this study …
real world can play a significant role in achieving carbon neutrality. Therefore, this study …
[HTML][HTML] Accurate modelling of the bifacial gain potential of rooftop solar photovoltaic systems
Bifacial solar modules have emerged as a promising technology in utility-scale photovoltaic
systems, experiencing significant growth and capturing a substantial market share …
systems, experiencing significant growth and capturing a substantial market share …
Reinforcement learning-based optimal scheduling model of battery energy storage system at the building level
Installing the battery energy storage system (BESS) and optimizing its schedule to effectively
address the intermittency and volatility of photovoltaic (PV) systems has emerged as a …
address the intermittency and volatility of photovoltaic (PV) systems has emerged as a …
Multi-objective sizing and real-time scheduling of battery energy storage in energy-sharing community based on reinforcement learning
Reducing peak demand and enhancing self-sufficiency have made the battery energy
storage system (BESS) essential in microgrids when combined with photovoltaic (PV) …
storage system (BESS) essential in microgrids when combined with photovoltaic (PV) …
Review of artificial intelligence-based failure detection and diagnosis methods for solar photovoltaic systems
In recent years, the overwhelming growth of solar photovoltaics (PV) energy generation as
an alternative to conventional fossil fuel generation has encouraged the search for efficient …
an alternative to conventional fossil fuel generation has encouraged the search for efficient …