Luis Gomes

Orcid: 0000-0002-8597-3383

Affiliations:
  • Polytechnic Institute of Porto, Portugal


According to our database1, Luis Gomes authored at least 43 papers between 2011 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
A Multi-Agent System Empowered by Federated Learning and Genetic Programming.
Proceedings of the 31st Signal Processing and Communications Applications Conference, 2023

A Novel Framework for Multiagent Knowledge-Based Federated Learning Systems.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, 2023

Energy Community Integration of a Smart Home Based on an Open Source Multiagent System.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Cognitive Mimetics. The PAAMS Collection, 2023

Demand Response-based Energy Management Model for Energy Communities considering Data Privacy of the Members.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023

A Novel Federated Learning Approach to Enable Distributed and Collaborative Genetic Programming.
Proceedings of the Progress in Artificial Intelligence, 2023

Rule-Based System for Intelligent Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2023

Computational Approaches for Green Computing of Energy Consumption Forecasting on Non-working Periods in an Office Building.
Proceedings of the Energy Informatics - Third Energy Informatics Academy Conference, 2023

Federated Genetic Programming: A Study About the Effects of Non-IID and Federation Size.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

FeDis: Federated Learning Framework Supported by Distributed Ledger.
Proceedings of the Blockchain and Applications, 5th International Congress, 2023

2022
Demand Response Contextual Remuneration of Prosumers with Distributed Storage.
Sensors, 2022

Peer-to-peer energy trading optimization in energy communities using multi-agent deep reinforcement learning.
Energy Inform., 2022

A Contextual Reinforcement Learning Approach for Electricity Consumption Forecasting in Buildings.
IEEE Access, 2022

Python-Based Ecosystem for Agent Communities Simulation.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

CPU Computation Influence on Energy Consumption Forecasting Activities of a Building.
Proceedings of the 17th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2022), 2022

A Learning Approach to Improve the Selection of Forecasting Algorithms in an Office Building in Different Contexts.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Web-based platform for the management of citizen energy communities and their members.
Energy Inform., 2021

Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models.
Energy Inform., 2021

IoT-Based Human Fall Detection Solution Using Morlet Wavelet.
Proceedings of the Sustainable Smart Cities and Territories, 2021

Energy Predictions for System on a Chip Solutions.
Proceedings of the 16th International Conference on Soft Computing Models in Industrial and Environmental Applications, 2021

2020
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach.
Sensors, 2020

Recommendation of Workplaces in a Coworking Building: A Cyber-Physical Approach Supported by a Context-Aware Multi-Agent System.
Sensors, 2020

Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading.
IEEE Access, 2020

MARTINE: Multi-Agent based Real-Time INfrastructure for Energy.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
IoH: A Platform for the Intelligence of Home with a Context Awareness and Ambient Intelligence Approach.
Future Internet, 2019

Lightweight Architecture for IoT Devices with Context-aware Autonomous Control.
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference Workshop, 2019

Demonstration of an Energy Consumption Forecasting System for Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2019

2018
An Intelligent Smart Plug with Shared Knowledge Capabilities.
Sensors, 2018

An Agent-Based IoT System for Intelligent Energy Monitoring in Buildings.
Proceedings of the 87th IEEE Vehicular Technology Conference, 2018

2017
µGIM - Microgrids Intelligent Management System Based on a Multi-agent Approach and the Active Participation on Demand Response.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Computational Platform for Household Simulation and Emulation to Test and Validate Energy Management Methodologies.
Proceedings of the Advances in Practical Applications of Cyber-Physical Multi-Agent Systems: The PAAMS Collection, 2017

EnAPlug - An Environmental Awareness Plug to Test Energy Management Solutions for Households.
Proceedings of the Progress in Artificial Intelligence, 2017

Energy Analyzer Emulation for Energy Management Simulators.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017

Statistics-Based Approach to Enable Consumer Profile Definition for Demand Response Programs.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017

2016
Shared Intelligence for smart grids management.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Dynamic Energy Management Method with Demand Response Interaction Applied in an Office Building.
Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016

Application of a Home Energy Management System for Incentive-Based Demand Response Program Implementation.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

2015
Electrical Energy Consumption Forecast Using External Facility Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Agent-Based Smart Grid Market Simulation with Connection to Real Infrastructures.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015

2014
Distributed, Agent-Based Intelligent System for Demand Response Program Simulation in Smart Grids.
IEEE Intell. Syst., 2014

Distributed intelligent management of microgrids using a multi-agent simulation platform.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014

A learning algorithm and system approach to address exceptional events in domestic consumption management.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

2013
Load control timescales simulation in a Multi-Agent Smart Grid Platform.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013

2011
Using an Ambient Intelligent Architecture for Developing an Intelligent Tutoring System for Training Operators of Power System Control Centres.
Proceedings of the Ambient Intelligence - Software and Applications, 2011


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