Publicacoes - INESC TEC

Publicações

Publicações por Tiago Manuel Campelos

2016

Customized Normalization Method to Enhance the Clustering Process of Consumption Profiles

Autores
Ribeiro, C; Pinto, T; Vale, ZA;

Publicação
Ambient Intelligence - Software and Applications - 7th International Symposium on Ambient Intelligence, ISAmI 2016, Seville, Spain, June 1-3, 2016

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

2013

Scenarios generation for multi-agent simulation of electricity markets based on intelligent data analysis

Autores
Santos, G; Praça, I; Pinto, T; Ramos, S; Vale, ZA;

Publicação
IEEE IA

Abstract

2017

Energy flexibility assessment of a multi agent-based smart home energy system

Autores
Gazafroudi, AS; Pinto, T; Castrillo, FP; Corchado, JM; Abrishambaf, O; Jozi, A; Vale, ZA;

Publicação
17th IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2017, Salamanca, Spain, September 12-15, 2017

Abstract

2013

On identifying which intermediate nodes should code in multicast networks

Autores
Pinto, T; Lucani, DE; Médard, M;

Publicação
ICC

Abstract

2016

Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature

Autores
Jozi, A; Pinto, T; Praça, I; Silva, F; Teixeira, B; Vale, ZA;

Publicação
2016 Global Information Infrastructure and Networking Symposium, GIIS 2016, Porto, Portugal, October 19-21, 2016

Abstract