[HTML][HTML] Local electricity markets: A review on benefits, barriers, current trends and future perspectives
Local electricity markets are emerging as a viable solution to overcome the challenges
brought by the large penetration of distributed renewable generation and the need to put …
brought by the large penetration of distributed renewable generation and the need to put …
A methodology for exploiting smart prosumers' flexibility in a bottom-up aggregation process
D Arnone, M Cacioppo, MG Ippolito, M Mammina… - Applied Sciences, 2022 - mdpi.com
The electrical power system is evolving in a way that requires new measures for ensuring its
secure and reliable operation. Demand-side aggregation represents one of the more …
secure and reliable operation. Demand-side aggregation represents one of the more …
An efficient approach for peak-load-aware scheduling of energy-intensive tasks in the context of a public IEEE challenge
The shift towards renewable energy and decreasing battery prices have led to numerous
installations of PV and battery systems in industrial and public buildings. Furthermore, the …
installations of PV and battery systems in industrial and public buildings. Furthermore, the …
The Energy Prediction Smart-Meter Dataset: Analysis of Previous Competitions and Beyond
This paper presents the real-world smart-meter dataset and offers an analysis of solutions
derived from the Energy Prediction Technical Challenges, focusing primarily on two key …
derived from the Energy Prediction Technical Challenges, focusing primarily on two key …
Assessing PV Integration with Evolutionary Algorithms: Insights from the 2024 Competition on Evolutionary Computation in the Energy Domain
In the field of energy systems, the" WCCI (CEC)/GECCO 2024 Competition Evolutionary
Computation in the Energy Domain: Optimal PV System Allocation" serves as a platform for …
Computation in the Energy Domain: Optimal PV System Allocation" serves as a platform for …
Explainergy: Towards Explainability of Metaheuristic Performance in the Energy Field
We propose the concept of “explainergy”, a new way of including explainability in the
metaheuristic performance of algorithms solving problems in the energy domain. To this …
metaheuristic performance of algorithms solving problems in the energy domain. To this …
Insights into the 2022 WCCI-GECCO Competition: Statistical Analysis of Evolutionary Computation in the Energy Domain
In the energy field, the “WCCI (CEC)/GECCO Competition Evolutionary Computation in the
Energy Domain: Risk-based Energy Scheduling” is a platform for testing and comparing new …
Energy Domain: Risk-based Energy Scheduling” is a platform for testing and comparing new …
D4. 4-New actor types in electricity market simulation models
A Couto, C Schimeczek, D Qiu, D São José… - 2022 - elib.dlr.de
The modelling of agents in the simulation models and tools is of primary importance if the
quality and the validity of the simulation outcomes are at stake. This is the final version of the …
quality and the validity of the simulation outcomes are at stake. This is the final version of the …
Use Cases for Contextual Load Flexibility Remuneration Strategies
In the new paradigm of smart grids, load flexibility remuneration strategies play a key role in
defining innovative business models and market frameworks using distributed energy …
defining innovative business models and market frameworks using distributed energy …
Real-time demand response in smart homes through direct lookahead approximation
JC Pico Garrido - 2023 - repositorio.uniandes.edu.co
Demand Response (DR) programs play a pivotal role in managing the balance of energy
supply and demand, particularly in the era of expanding Renewable Energy Resources …
supply and demand, particularly in the era of expanding Renewable Energy Resources …