Publicacoes - INESC TEC

Publicações

Publicações por HumanISE

2019

Adaptive entropy-based learning with dynamic artificial neural network

Autores
Pinto, T; Morais, H; Corchado, JM;

Publicação
Neurocomputing

Abstract

2019

Hybrid approach based on particle swarm optimization for electricity markets participation

Autores
Faia, R; Pinto, T; Vale, ZA; Corchado, JM;

Publicação
Energy Inform.

Abstract

2019

Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning

Autores
Silva, F; Pinto, T; Praça, I; Vale, ZA;

Publicação
New Knowledge in Information Systems and Technologies - Volume 1, World Conference on Information Systems and Technologies, WorldCIST 2019, Galicia, Spain, 16-19 April, 2019

Abstract

2019

Collaborative Reinforcement Learning of Energy Contracts Negotiation Strategies

Autores
Pinto, T; Praça, I; Vale, ZA; Santos, C;

Publicação
Highlights of Practical Applications of Survivable Agents and Multi-Agent Systems. The PAAMS Collection - International Workshops of PAAMS 2019, Ávila, Spain, June 26-28, 2019, Proceedings

Abstract

2019

AiD-EM: Adaptive Decision Support for Electricity Markets Negotiations

Autores
Pinto, T; Vale, ZA;

Publicação
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10-16, 2019

Abstract
This paper presents the Adaptive Decision Support for Electricity Markets Negotiations (AiD-EM) system. AiD-EM is a multi-agent system that provides decision support to market players by incorporating multiple sub-(agent-based) systems, directed to the decision support of specific problems. These sub-systems make use of different artificial intelligence methodologies, such as machine learning and evolutionary computing, to enable players adaptation in the planning phase and in actual negotiations in auction-based markets and bilateral negotiations. AiD-EM demonstration is enabled by its connection to MASCEM (Multi-Agent Simulator of Competitive Electricity Markets).

FecharLer Abstract

2019

Contextual Simulated Annealing Q-Learning for Pre-negotiation of Agent-Based Bilateral Negotiations

Autores
Pinto, T; Vale, ZA;

Publicação
Progress in Artificial Intelligence - 19th EPIA Conference on Artificial Intelligence, EPIA 2019, Vila Real, Portugal, September 3-6, 2019, Proceedings, Part I

Abstract