Deep reinforcement learning based pricing strategy of aggregators considering renewable energy

YC Chuang, WY Chiu - IEEE Transactions on Emerging Topics …, 2021 - ieeexplore.ieee.org
With the rapid development of information and communications technology and high
penetration of renewable energy, the role of an aggregator in a smart grid has emerged to …

VidyutVanika: A reinforcement learning based broker agent for a power trading competition

S Ghosh, E Subramanian, SP Bhat, S Gujar… - Proceedings of the …, 2019 - ojs.aaai.org
A smart grid is an efficient and sustainable energy system that integrates diverse generation
entities, distributed storage capacity, and smart appliances and buildings. A smart grid …

AgentUDE17: a genetic algorithm to optimize the parameters of an electricity tariff in a smart grid environment

S Özdemir, R Unland - Advances in Practical Applications of Agents, Multi …, 2018 - Springer
Electricity retailers are the most vulnerable actors in the electricity grid since they are
responsible for many financial challenges. As a business entity, electricity retailers aim to …

Optimal fuzzy energy trading system in a fog-enabled smart grid

K Shahzad, S Iqbal, H Mukhtar - Energies, 2021 - mdpi.com
With the recent technological advancements, it has become possible to conceive numerous
valuable applications for efficient utilization of energy resources in a smart grid. As …

CrocodileAgent 2018: Robust agent-based mechanisms for power trading in competitive environments

D Grgic, H Vdovic, J Babic… - Computer science and …, 2019 - doiserbia.nb.rs
Besides the smart grid, future sustainable energy systems will have to employ a smart
market approach where consumers are able choose one of many different energy providers …

SPOT: Strategies for Power Trading in Wholesale Electricity Markets

MMP Chowdhury, C Kiekintveld, TC Son… - … through Retail Electricity …, 2023 - Springer
Abstract The Power Trading Agent Competition (Power TAC) simulates numerous economic
multi-agent trading scenarios where brokers trade in multiple power markets. A successful …

CrocodileAgent: A Decade of Competing in the Power Trading Agent Competition

D Grgic, J Babic, V Podobnik - Energy Sustainability through Retail …, 2023 - Springer
Abstract The Power Trading Agent Competition (Power TAC) is a yearly research
competition that provides an open-source, smart grid simulation platform where brokers from …

AgentUDE: A Smart Broker Agent for Autonomous Power Trading

S Özdemir, R Unland - … through Retail Electricity Markets: The Power …, 2023 - Springer
AgentUDE is a retail energy agent that participated in the Power TAC smart grid competition
for a while with some success. This article describes the milestones of its development as …

Peer-to-Peer Energy Trading for PV Prosumers using Fuzzy Logic Inference Systems

H Lopez, A Zilouchian - 2023 IEEE 50th Photovoltaic …, 2023 - ieeexplore.ieee.org
This paper presents a novel method using fuzzy inference systems (FIS) to help prosumers
in Florida choose between a peer-to-peer (P2P) energy network and the traditional grid …

Adaptive multi-agent system for smart grid regulation with norms and incentives

TRPM Rúbio, H Lopes Cardoso, E Oliveira - Technological Innovation for …, 2016 - Springer
Regulatory policies applied to traditional energy systems are not sufficient when considering
smart grids' new requirements such as distributed and decentralised coordination. New …