The concept of transactive energy market (TEM) has been introduced to efficiently balance supply and demand across the electrical networks in a distributed manner. TEM allows …
Reinforcement learning (RL) is essential for the computation of game equilibria and the estimation of payoffs under incomplete information. However, it has been a challenge to …
Great Advancements in Electric Vehicles (EVs) as well as their increasing utilization in smart grids has highlighted the key role of EV aggregators. As a mediator, EV aggregators are …
Y Wang, W Saad, AI Sarwat… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Reactive power compensation is an important challenge in smart power systems. However, in the context of reactive power compensation, most existing studies assume that customers …
H Zhao, Y Wang, S Guo, M Zhao, C Zhang - Energies, 2016 - mdpi.com
An important goal of China's electric power system reform is to create a double-side day- ahead wholesale electricity market in the future, where the suppliers (represented by …
D Barth, B Cohen-Boulakia, W Ehounou - Energies, 2022 - mdpi.com
In the context of an eco-responsible production and distribution of electrical energy at the local scale of an urban territory, we consider a smart grid as a system interconnecting …
In this paper, we describe an adaptive trading agent which can sell and buy electric power effectively in a locally produced and consumed electric energy network. The trading agents …
Local energy markets are emerging as a tool for coordinating generation, storage, and consumption of energy from distributed resources. In combination with automation, they …
In liberalized, regulated energy markets, the different participants-namely producers and consumers of energy, transmission and distribution system operators as well as regulatory …