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Luis Gomes

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Instituto Politécnico do Porto Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvol

Portugal

Research Interests

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Professors in Portugal Professors in Energy Engineering Energy Engineering professors in Portugal

Recent Grants

Grant: Open

MIKADO - Real-time energy Management Intelligence: Knowledge And Data mOdels for decision making using semantics and machine learning

Open Date: 2026-01-01

Close Date: 2028-12-01

Grant: Close

Multi-Agent Systems SemantiC Interoperability for simulation and dEcision supporT in complex energY systems

Open Date: 2021-06-04

Close Date:

Grant: Close

Laboratório Associado de Sistemas Inteligentes

Open Date: 2021-01-01

Close Date: 2025-12-31

Grant: Close

Grupo de Investigação em Engenharia e Computação Inteligente para a Inovação e o Desenvolvimento

Open Date: 2019-01-01

Close Date: 2019-12-31

Articles (31)

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Collaborators (9)

Fernando Lezama

Senior Researcher

Polytechnic Institute of Porto

PORTUGAL

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Bruno Mota

Researcher

Polytechnic Institute of Porto

PORTUGAL

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Hussein Abdeltawab

Assistant Professor

Wake Forest University

UNITED STATES

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Tayenne Dias de Lima

Researcher (GECAD)

Polytechnic Institute of Porto

PORTUGAL

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Zita Vale

Prof. Dr

Polytechnic Institute of Porto

PORTUGAL

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Bruno Ribeiro

Polytechnic Institute of Porto

PORTUGAL

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Hamed Moayyed

Wake Forest University

UNITED STATES

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António Coelho

Associate Professor with Habilitation

Universidade do Porto Faculdade de Engenharia

PORTUGAL

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João Soares

Instituto Politécnico de Leiria

PORTUGAL

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Luis Gomes

Research Interests

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Recent Grants

Articles (31)

An Asynchronous Rule-Based Control Architecture for Distributed Battery Energy Arbitrage and Demand Response

CONFIA: A Modular Framework for Rigorous Energy Forecasting Evaluation

Automatic Configuration of Genetic Algorithm Parameters for Load Shifting of Household Appliances Through Iterated Racing

Web Meta-ERM: An Application to Compare Optimization Algorithms in Smart Grid Environments

Energy Storage Management with Day-Ahead and Real-Time Planning for Energy Communities

Distributed computing for intelligent buildings in communities: The Caravels approach

Intelligent IoT Device Powered by AI-Based Models for Forecast and Classification

PEAK-ACL: A FIPA-compliant agent communication package for python-based multi-agent systems

Daily data for energy management: Renewable generation, consumption and storage

An adaptive language model-based intelligent medication assistant for the decision support of antidepressant prescriptions

PEAK: Python-based framework for heterogeneous agent communities

Optimizing battery storage for sustainable energy communities: A multi-scenario analysis

Retrieval-Augmented Generation Based Assistant: A Smart Home Case Study

Adaptive Federated Learning for Robust PV Power Forecasting Under Weather-Induced Concept Drift

A Smart Contract-Based Peer-to-Peer Energy Trading System

Benchmarking Large Language Models for Multi-agent Systems: A Comparative Analysis of AutoGen, CrewAI, and TaskWeaver

Retrieval-Augmented Generation Powered by a Multi-agent System to Assisted the Operation of Industries

Costless renewable energy distribution model based on cooperative game theory for energy communities considering its members’ active contributions

Congestion Management in Energy Communities Using a Two-Step Demand Response Methodology

Multi-agent based energy community cost optimization considering high electric vehicles penetration

Dataset of an energy community with prosumer consumption, photovoltaic generation, battery storage, and electric vehicles

MARTINE’s real-time local market simulation with a semantically interoperable society of multi-agent systems

Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids-A Portuguese Survey

Energy trading strategy of community shared energy storage

Future of energy management systems in smart cities: A systematic literature review

Assessment of Energy Customer Perception, Willingness, and Acceptance to Participate in Smart Grids—A Portuguese Survey

Dataset of an energy community's generation and consumption with appliance allocation

Dataset of an energy community's generation and consumption with appliance allocation

Smart Grid Ecosystem Modeling Using a Novel Framework for Heterogenous Agent Communities

Smart Grid Ecosystem Modeling Using a Novel Framework for Heterogenous Agent Communities

Demand Response Contextual Remuneration of Prosumers with Distributed Storage

Collaborators (9)

Fernando Lezama

Bruno Mota

Hussein Abdeltawab

Tayenne Dias de Lima

Zita Vale

Bruno Ribeiro

Hamed Moayyed

António Coelho

João Soares

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