Brigida Teixeira

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 11

Top Topics

Multi Agent Simulation

Realistic Scenarios

Top Venues

Publications

Brigida Teixeira, Ricardo Faia, Tiago Pinto, Zita Vale
Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation. DCAI (2) (2023)
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)
Brigida Teixeira, Tiago Pinto, Pedro Faria, Zita A. Vale
PV Generation Forecasting Model for Energy Management in Buildings. EPIA (2021)
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) (2020)
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 (2020)
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)
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)
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)
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)
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)
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)
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)
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)