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) …
Techno-economic feasibility analysis of an electric vehicle charging station for an International Airport in Chattogram, Bangladesh
The transportation system is one of the crucial requirements of day-to-day human life. The
car is one of the most attractive modes of transportation system for human beings. The …
car is one of the most attractive modes of transportation system for human beings. The …
[HTML][HTML] Frontier of digitalization in Biomass-to-X supply chain: opportunity or threats?
The escalating climate crisis necessitates an urgent shift towards a sustainable business
model. Under the context of bioeconomy, it has offered a promising alternative through its …
model. Under the context of bioeconomy, it has offered a promising alternative through its …
Cradle-to-grave lifecycle carbon footprint analysis and frontier decarbonization pathways of district buildings in subtropical Guangzhou, China
D Pan, X Yu, Y Zhou - Journal of Cleaner Production, 2023 - Elsevier
This study conducted a holistic lifecycle carbon footprint analysis of small-scale district
buildings in Guangzhou. Building energy system models were developed in TRNSYS …
buildings in Guangzhou. Building energy system models were developed in TRNSYS …
[HTML][HTML] Near real-time predictions of renewable electricity production at substation level via domain adaptation zero-shot learning in sequence
With the urgency of the transition to a resilient low-carbon economy, the monitoring and
prediction of regional renewable energy generation over time have become increasingly …
prediction of regional renewable energy generation over time have become increasingly …
Peer-to-peer trading price and strategy optimization considering different electricity market types, tariff systems, and pricing models
This study investigated the peer-to-peer (P2P) trading price and strategy based on market-
driven methods within a residential microgrid consists of two prosumers (ie, P1 and P2) and …
driven methods within a residential microgrid consists of two prosumers (ie, P1 and P2) and …
[HTML][HTML] The P-graph application extension in multi-period P2P energy trading
An optimization model that incorporates all combinatorically feasible inter-plant
collaboration networks is developed using P-graph. It has been theoretically proven that …
collaboration networks is developed using P-graph. It has been theoretically proven that …
Economic Pricing in Peer-to-Peer Electrical Trading for a Sustainable Electricity Supply Chain Industry in Thailand
The state-owned power Electricity Generating Authority of Thailand (EGAT), a monopoly
market in charge of producing, distributing, and wholesaling power, is the focal point of …
market in charge of producing, distributing, and wholesaling power, is the focal point of …
Distributed prosumer trading in the electricity and carbon markets considering user utility
With the promotion of distributed energy trading and the transformation of power system
operation mode, prosumers in the carbon and electricity markets face new opportunities and …
operation mode, prosumers in the carbon and electricity markets face new opportunities and …
[HTML][HTML] Blockchain-enabled solutions for fair and efficient peer-to-peer renewable energy trading: An experimental comparison
Abstract Peer-to-peer (P2P) renewable energy trading, facilitated by designing P2P market
smart contracts on blockchain servers, is a promising approach to increase investments in …
smart contracts on blockchain servers, is a promising approach to increase investments in …