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2020 – today
- 2023
[c11]João Carvalho, Tiago Pinto
, Juan M. Home-Ortiz, Brigida Teixeira, Zita Vale, Rubén Romero:
Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation. DCAI (2) 2023: 245-255- [c10]Brigida Teixeira, Ricardo Faia, Tiago Pinto, Zita Vale:
Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation. DCAI (2) 2023: 267-276 - 2021
- [c9]Brigida Teixeira, Tiago Pinto, Pedro Faria, Zita A. Vale:
PV Generation Forecasting Model for Energy Management in Buildings. EPIA 2021: 176-182 - 2020
- [j2]Brigida Teixeira, Gabriel Santos, Tiago Pinto, Zita A. Vale, Juan M. Corchado:
Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy Systems. IEEE Access 8: 81129-81141 (2020) - [j1]Daniel Ramos, Brigida Teixeira, Pedro Faria, Luis Gomes, Omid Abrishambaf, Zita A. Vale:
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach. Sensors 20(12): 3524 (2020)
2010 – 2019
- 2018
- [c8]Brigida Teixeira, Francisco Silva, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale:
Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation. PAAMS 2018: 353-356 - 2017
- [c7]Francisco Silva, Brigida Teixeira, Tiago Pinto, Isabel Praça, Goreti Marreiros, Zita A. Vale:
Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets. ISAmI 2017: 159-166 - [c6]Brigida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale:
Tools Control Center to Enable the Joint Simulation of Multi-agent Systems. PAAMS (Special Sessions) 2017: 307-308 - 2016
- [c5]Francisco Silva, Brigida Teixeira, Nuno Teixeira, Tiago Pinto, Isabel Praça, Zita A. Vale:
Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity. DEXA Workshops 2016: 161-165 - [c4]Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale:
Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature. GIIS 2016: 1-6 - [c3]Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale:
Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System. SSCI 2016: 1-5 - 2015
- [c2]Francisco Silva, Brigida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale:
Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation. PAAMS 2015: 316-319 - 2014
- [c1]Brigida Teixeira, Francisco Silva, Tiago Pinto, Isabel Praça, Gabriel Santos, Zita A. Vale:
Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets. IEEE IA 2014: 8-15
Coauthor Index
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