Tiago Pinto

Orcid: 0000-0001-8248-080X

According to our database1, Tiago Pinto authored at least 147 papers between 2010 and 2023.

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

Timeline

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Bibliography

2023
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration.
Dataset, November, 2023

Review of Platforms and Frameworks for Building Virtual Assistants.
Proceedings of the Information Systems and Technologies, 2023

Vision Transformers Applied to Indoor Room Classification.
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

Sizing of Urban Power Systems Based on Renewable Sources.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Design of Context-Aware Information Systems in Manufacturing Industries: Overview and Challenges.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Context-Aware Applications in Industry 4.0: A Systematic Literature Review.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Wearable Devices in Industry 4.0: A Systematic Literature Review.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

2022
A Review of Conversational Agents in Education.
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2022

Virtual Assistants Applications in Education.
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2022

The Impact of Artificial Intelligence on Chatbot Design.
Proceedings of the Technology and Innovation in Learning, Teaching and Education, 2022

Clustering-Based Filtering of Big Data to Improve Forecasting Effectiveness and Efficiency.
Proceedings of the Multimedia Communications, Services and Security, 2022

Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration.
Proceedings of the Progress in Artificial Intelligence, 2022

Modeling Stand-Alone Photovoltaic Systems with Matlab/Simulink.
Proceedings of the Progress in Artificial Intelligence, 2022

2021
Intelligent Energy Systems Ontology: Local flexibility market and power system co-simulation demonstration.
Dataset, September, 2021

Semantic Services Catalog: Demonstration of Multiagent Systems Society co-simulation.
Dataset, April, 2021

Ensemble learning for electricity consumption forecasting in office buildings.
Neurocomputing, 2021

Consumer Flexibility Aggregation Using Partition Function Games With Non-Transferable Utility.
IEEE Access, 2021

Optimal Model for Local Energy Community Scheduling Considering Peer to Peer Electricity Transactions.
IEEE Access, 2021

Semantic Interoperability for Multiagent Simulation and Decision Support in Power Systems.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

Semantic Services Catalog for Multiagent Systems Society.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Social Good. The PAAMS Collection, 2021

PV Generation Forecasting Model for Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2021

Wind Speed Forecasting Using Feed-Forward Artificial Neural Network.
Proceedings of the Distributed Computing and Artificial Intelligence, 2021

Sparse Training Theory for Scalable and Efficient Agents.
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020
Adaptive Learning in Electricity Market Negotiations Based on Determinism Theory.
IEEE Intell. Syst., 2020

Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy Systems.
IEEE Access, 2020

Data Mining for Remuneration of Consumers Demand Response Participation.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020

Trust Model for a Multi-agent Based Simulation of Local Energy Markets.
Proceedings of the Highlights in Practical Applications of Agents, Multi-Agent Systems, and Trust-worthiness. The PAAMS Collection, 2020

Adaptive Learning in Multiagent Systems for Automated Energy Contacts Negotiation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Contextual Q-Learning.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

A P2P Electricity Negotiation Agent Systems in Urban Smart Grids.
Proceedings of the Distributed Computing and Artificial Intelligence, 2020

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

2019
Multi-Agent-Based CBR Recommender System for Intelligent Energy Management in Buildings.
IEEE Syst. J., 2019

Adaptive entropy-based learning with dynamic artificial neural network.
Neurocomputing, 2019

Hybrid approach based on particle swarm optimization for electricity markets participation.
Energy Inform., 2019

Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies.
Proceedings of the Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection, 2019

AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations.
Proceedings of the Progress in Artificial Intelligence, 2019

Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management.
Proceedings of the Progress in Artificial Intelligence, 2019

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

Fair Remuneration of Energy Consumption Flexibility Using Shapley Value.
Proceedings of the Progress in Artificial Intelligence, 2019

Energy Consumption Forecasting Using Ensemble Learning Algorithms.
Proceedings of the Distributed Computing and Artificial Intelligence, 2019

Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

ALBidS: A Decision Support System for Strategic Bidding in Electricity Markets.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

Practical Application of a Multi-Agent Systems Society for Energy Management and Control.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Iberian electricity market ontology to enable smart grid market simulation.
Energy Inform., 2018

Survey on Complex Optimization and Simulation for the New Power Systems Paradigm.
Complex., 2018

Complex Optimization and Simulation in Power Systems.
Complex., 2018

Strategic Particle Swarm Inertia Selection for Electricity Markets Participation Portfolio Optimization.
Appl. Artif. Intell., 2018

Day-ahead forecasting approach for energy consumption of an office building using support vector machines.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Genetic Algorithms for Portfolio Optimization with Weighted Sum Approach.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2018

Clustering-based negotiation profiles definition for local energy transactions.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Optimizing Opponents Selection in Bilateral Contracts Negotiation with Particle Swarm.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Multi-agent Systems Society for Power and Energy Systems Simulation.
Proceedings of the Multi-Agent-Based Simulation XIX - 19th International Workshop, 2018

Bridging Automation and Robotics: an Interprocess Communication between IEC 61131-3 and ROS.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Day ahead electricity consumption forecasting with MOGUL learning model.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Differential Evolution Aplication in Portfolio optimization for Electricity Markets.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Electricity Price Forecast for Futures Contracts with Artificial Neural Network and Spearman Data Correlation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

UCB1 Based Reinforcement Learning Model for Adaptive Energy Management in Buildings.
Proceedings of the Distributed Computing and Artificial Intelligence, 2018

A New Hybrid-Adaptive Differential Evolution for a Smart Grid Application Under Uncertainty.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Bilateral contract prices estimation using a Q-leaming based approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Energy consumption forecasting using neuro-fuzzy inference systems: Thales TRT building case study.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Lighting consumption optimization using fish school search algorithm.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Hybrid particle swarm optimization of electricity market participation portfolio.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Big Data in Efficient Smart Grids Management.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Tools Control Center to Enable the Joint Simulation of Multi-agent Systems.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Ontologies for the Interoperability of Heterogeneous Multi-agent Systems in the Scope of Power and Energy Systems.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Remuneration and Tariffs in the Context of Virtual Power Players.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Economic Evaluation of Predictive Dispatch Model in MAS-Based Smart Home.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Organization-Based Multi-agent System of Local Electricity Market: Bottom-Up Approach.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Decision Support for Agents' Participation in Electricity Markets.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Initial Solution Heuristic for Portfolio Optimization of Electricity Markets Participation.
Proceedings of the Highlights of Practical Applications of Cyber-Physical Multi-Agent Systems, 2017

Smart City: A GECAD-BISITE Energy Management Case Study.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Teaching/learning PBL activity: Gantry crane control system implementation.
Proceedings of the 25th Mediterranean Conference on Control and Automation, 2017

Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
Proceedings of the Ambient Intelligence - Software and Applications, 2017

Energy flexibility assessment of a multi agent-based smart home energy system.
Proceedings of the 17th IEEE International Conference on Ubiquitous Wireless Broadband, 2017

Automatic Selection of Optimization Algorithms for Energy Resource Scheduling using a Case-Based Reasoning System.
Proceedings of ICCBR 2017 Workshops (CAW, 2017

Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM.
Proceedings of the Progress in Artificial Intelligence, 2017

Data Mining for Prosumers Aggregation considering the Self-Generation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2017

Organization-based Multi-Agent structure of the Smart Home Electricity System.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

2016
Decision support for the strategic behaviour of electricity market players
PhD thesis, 2016

Adaptive Portfolio Optimization for Multiple Electricity Markets Participation.
IEEE Trans. Neural Networks Learn. Syst., 2016

Support Vector Machines for decision support in electricity markets' strategic bidding.
Neurocomputing, 2016

Intelligent energy forecasting based on the correlation between solar radiation and consumption patterns.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Intelligent energy management using CBR: Brazilian residential consumption scenario.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

GA optimization technique for portfolio optimization of electricity market participation.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Electricity Markets Ontology to Support MASCEM's Simulations.
Proceedings of the Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection, 2016

Demonstration of ALBidS: Adaptive Learning Strategic Bidding System.
Proceedings of the Advances in Practical Applications of Scalable Multi-agent Systems. The PAAMS Collection, 2016

Network Operator Agent: Endowing MASCEM Simulator with Technical Validation.
Proceedings of the Highlights of Practical Applications of Scalable Multi-Agent Systems. The PAAMS Collection, 2016

Optimization of Electricity Markets Participation with Simulated Annealing.
Proceedings of the Trends in Practical Applications of Scalable Multi-Agent Systems, 2016

Customized Normalization Method to Enhance the Clustering Process of Consumption Profiles.
Proceedings of the Ambient Intelligence - Software and Applications, 2016

House management system with real and virtual resources: Energy efficiency in residential microgrid.
Proceedings of the 2016 Global Information Infrastructure and Networking Symposium, 2016

Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature.
Proceedings of the 2016 Global Information Infrastructure and Networking Symposium, 2016

Electrical Energy Consumption Forecast Using Support Vector Machines.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

Portfolio Optimization for Electricity Market Participation with NPSO-LRS.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

2015
Coalition of distributed generation units to Virtual Power Players - a game theory approach.
Integr. Comput. Aided Eng., 2015

Six thinking hats: A novel metalearner for intelligent decision support in electricity markets.
Decis. Support Syst., 2015

Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 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

Dynamic Fuzzy Estimation of Contracts Historic Information Using an Automatic Clustering Methodology.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Sustainability - The PAAMS Collection, 2015

Data Mining Approach for Decision Support in Real Data Based Smart Grid Scenario.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

Pan-European Electricity Market Simulation Considering the European Power Network Capacities.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

Portfolio Optimization for Electricity Market Participation with Particle Swarm.
Proceedings of the 26th International Workshop on Database and Expert Systems Applications, 2015

Solar Intensity Characterization Using Data-Mining to Support Solar Forecasting.
Proceedings of the Distributed Computing and Artificial Intelligence, 2015

2014
Adaptive learning in agents behaviour: A framework for electricity markets simulation.
Integr. Comput. Aided Eng., 2014

Particle Swarm Optimization of Electricity Market Negotiating Players Portfolio.
Proceedings of the Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Strategic Bidding for Electricity Markets Negotiation Using Support Vector Machines.
Proceedings of the Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Automatic Electricity Markets Data Extraction for Realistic Multi-agent Simulations.
Proceedings of the Advances in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Elspot: Nord Pool Spot Integration in MASCEM Electricity Market Simulator.
Proceedings of the Highlights of Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection, 2014

Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014

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

Realistic Multi-agent Simulation of Competitive Electricity Markets.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Multi-agent Simulation of Bilateral Contracting in Competitive Electricity Markets.
Proceedings of the 25th International Workshop on Database and Expert Systems Applications, 2014

Reinforcement Learning Based on the Bayesian Theorem for Electricity Markets Decision Support.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014

Data Extraction Tool to Analyse, Transform and Store Real Data from Electricity Markets.
Proceedings of the Distributed Computing and Artificial Intelligence, 2014

Short-term wind speed forecasting using Support Vector Machines.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Dynamic and Uncertain Environments, 2014

2013
Strategic bidding in electricity markets: An agent-based simulator with game theory for scenario analysis.
Integr. Comput. Aided Eng., 2013

Demonstration of the Multi-Agent Simulator of Competitive Electricity Markets.
Proceedings of the Advances on Practical Applications of Agents and Multi-Agent Systems, 2013

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

Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysis.
Proceedings of the 2013 IEEE Symposium on Intelligent Agents, 2013

On identifying which intermediate nodes should code in multicast networks.
Proceedings of IEEE International Conference on Communications, 2013

Adapting meeting tools to agent decision.
Proceedings of the 2013 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2013

Metalearner Based on Dynamic Neural Network for Strategic Bidding in Electricity Markets.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

Electricity Markets Portfolio Optimization Using a Particle Swarm Approach.
Proceedings of the 24th International Workshop on Database and Expert Systems Applications, 2013

Upper Ontology for Multi-Agent Energy Systems' Applications.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

Adaptive Learning in Games: Defining Profiles of Competitor Players.
Proceedings of the Distributed Computing and Artificial Intelligence, 2013

Dispatch of distributed energy resources to provide energy and reserve in smart grids using a particle swarm optimization approach.
Proceedings of the IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2013

2012
Multilevel Negotiation in Smart Grids for VPP Management of Distributed Resources.
IEEE Intell. Syst., 2012

Adaptive Learning in Multiagent Systems: A Forecasting Methodology Based on Error Analysis.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012

Metalearning in ALBidS: A Strategic Bidding System for Electricity Markets.
Proceedings of the Highlights on Practical Applications of Agents and Multi-Agent Systems, 2012

Intelligent electric vehicle heuristic for Energy Resource Management using Simulated Annealing.
Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe, 2012

Multi-agent Simulation of Continental, Regional, and Micro Electricity Markets.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

Remuneration and Tariffs in the Context of Virtual Power Players.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

Adaptive Tool for Automatic Data Collection of Real Electricity Markets.
Proceedings of the 23rd International Workshop on Database and Expert Systems Applications, 2012

2011
MASCEM: Electricity Markets Simulation with Strategic Agents.
IEEE Intell. Syst., 2011

Bid Definition Method for Electricity Markets Based on an Adaptive Multiagent System.
Proceedings of the Advances on Practical Applications of Agents and Multiagent Systems, 2011

Multiagent system for adaptive strategy formulation in electricity markets.
Proceedings of the 2011 IEEE Symposium on Intelligent Agent, 2011

Strategic Bidding Methodology for Electricity Markets Using Adaptive Learning.
Proceedings of the Modern Approaches in Applied Intelligence, 2011

2010
Simulation - Concepts and Applications.
Proceedings of the Organizational, Business, and Technological Aspects of the Knowledge Society, 2010


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