[HTML][HTML] Market mechanisms for local electricity markets: A review of models, solution concepts and algorithmic techniques
The rapidly increasing penetration of distributed energy resources (DERs) calls for a
hierarchical framework where aggregating entities handle the energy management …
hierarchical framework where aggregating entities handle the energy management …
[HTML][HTML] Community energy storage operation via reinforcement learning with eligibility traces
The operation of a community energy storage system (CESS) is challenging due to the
volatility of photovoltaic distributed generation, electricity consumption, and energy prices …
volatility of photovoltaic distributed generation, electricity consumption, and energy prices …
Multistage energy management of coordinated smart buildings: A multiagent Markov decision process approach
G Tsaousoglou, N Efthymiopoulos… - … on Smart Grid, 2022 - ieeexplore.ieee.org
Smart buildings provide an important opportunity for large-scale development of demand
response, due to their existing flexibility that can be harvested through Internet-of-Things …
response, due to their existing flexibility that can be harvested through Internet-of-Things …
Data-Driven Multiperiod Optimal Power Flow for Power System Scheduling Considering Renewable Energy Integration
Integrating renewable energy sources (RESs) into electric power systems is environmentally
beneficial; however, it also introduces operational challenges. The multiperiod optimal …
beneficial; however, it also introduces operational challenges. The multiperiod optimal …
A deep neural network-based optimal power flow approach for identifying network congestion and renewable energy generation curtailment
Herein, we propose a novel method for identifying power congestion and renewable energy
source (RES) power curtailment in power grids by using deep neural network (DNN)-based …
source (RES) power curtailment in power grids by using deep neural network (DNN)-based …