4 papers
MARLEM: A Multi-Agent Reinforcement Learning Simulation Framework for Implicit Cooperation in Decentralized Local Energy Markets
Nelson Salazar-Pena, Alejandra Tabares, Andres Gonzalez-Mancera
This paper introduces a novel, open-source MARL simulation framework for studying implicit cooperation in LEMs, modeled as a decentralized partially observable Markov decision proc…
Harnessing Implicit Cooperation: A Multi-Agent Reinforcement Learning Approach Towards Decentralized Local Energy Markets
Nelson Salazar-Pena, Alejandra Tabares, Andres Gonzalez-Mancera
This paper proposes implicit cooperation, a framework enabling decentralized agents to approximate optimal coordination in local energy markets without explicit peer-to-peer commun…
Intra-day Solar and Power Forecast for Optimization of Intraday Market Participation
Nelson Salazar-Pena, Adolfo Palma-Vergara, Mateo Montes-Vera +8
The prediction of solar irradiance enhances reliability in photovoltaic (PV) solar plant generation and grid integration. In Colombia, PV plants face penalties if energy production…
AI-Powered Dynamic Fault Detection and Performance Assessment in Photovoltaic Systems
Nelson Salazar-Pena, Alejandra Tabares, Andres Gonzalez-Mancera
The intermittent nature of photovoltaic (PV) solar energy, driven by variable weather, leads to power losses of 10-70% and an average energy production decrease of 25%. Accurate lo…