Market mechanisms and trading in microgrid local electricity markets: A comprehensive review
Electricity generation using distributed renewable energy systems is becoming increasingly
common due to the significant increase in energy demand and the high operation of …
common due to the significant increase in energy demand and the high operation of …
A review of electricity tariffs and enabling solutions for optimal energy management
Today, electricity tariffs play an essential role in the electricity retail market as they are the
key factor for the decision-making of end-users. Additionally, tariffs are necessary for …
key factor for the decision-making of end-users. Additionally, tariffs are necessary for …
[HTML][HTML] IoT-orchestrated optimal nanogrid energy management: Improving energy trading performance and efficiency via virtual operations
Over the past decade, IoT-orchestrated frameworks have demonstrated significant
advantages in enhancing the performance of mission-critical applications. However …
advantages in enhancing the performance of mission-critical applications. However …
[HTML][HTML] Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market
This paper presents a peer-to-peer (P2P) trading-enabled local energy market (LEM)
mechanism and analyses it in the Australian market context to verify its feasibility. To do so …
mechanism and analyses it in the Australian market context to verify its feasibility. To do so …
DeepResTrade: a peer-to-peer LSTM-decision tree-based price prediction and blockchain-enhanced trading system for renewable energy decentralized markets
Intelligent predictive models are fundamental in peer-to-peer (P2P) energy trading as they
properly estimate supply and demand variations and optimize energy distribution, and the …
properly estimate supply and demand variations and optimize energy distribution, and the …
Explainable AI for material property prediction based on energy cloud: a shapley-driven approach
The scientific community has raised increasing apprehensions over the transparency and
interpretability of machine learning models employed in various domains, particularly in the …
interpretability of machine learning models employed in various domains, particularly in the …
A CNN-GRU Approach to the Accurate Prediction of Batteries' Remaining Useful Life from Charging Profiles
Predicting the remaining useful life (RUL) is a pivotal step in ensuring the reliability of lithium-
ion batteries (LIBs). In order to enhance the precision and stability of battery RUL prediction …
ion batteries (LIBs). In order to enhance the precision and stability of battery RUL prediction …
P2P power trading of nanogrids for power management in consideration of battery lifetime of ESS
This study presents a peer-to-peer (P2P) trading strategy for power management of
nanogrids with renewable energy sources (RESs), taking battery lifetime of energy storage …
nanogrids with renewable energy sources (RESs), taking battery lifetime of energy storage …
Integrating forecasting service and Gen2 blockchain into a local energy trading platform to promote sustainability goals
Peer-to-peer (P2P) trading in a local energy market (LEM) offers various participants the
opportunity to negotiate and strike energy deals among themselves using a distributed …
opportunity to negotiate and strike energy deals among themselves using a distributed …
Secure hydrogen production analysis and prediction based on blockchain service framework for intelligent power management system
The rapid adoption of hydrogen as an eco-friendly energy source has necessitated the
development of intelligent power management systems capable of efficiently utilizing …
development of intelligent power management systems capable of efficiently utilizing …