Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets. - Brigida Teixeira; Francisco Silva 001; Tiago Pinto; Isabel Praça; Gabriel Santos; Zita A. Vale (IEEE IA, 2014)

Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation. - Francisco Silva 001; Brigida Teixeira; Tiago Pinto; Gabriel Santos; Isabel Praça; Zita A. Vale (PAAMS, 2015)

Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity. - Francisco Silva 001; Brigida Teixeira; Nuno Teixeira; Tiago Pinto; Isabel Praça; Zita A. Vale (DEXA Workshops, 2016)

Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature. - Aria Jozi; Tiago Pinto; Isabel Praça; Francisco Silva 001; Brigida Teixeira; Zita A. Vale (GIIS, 2016)

Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System. - Aria Jozi; Tiago Pinto; Isabel Praça; Francisco Silva 001; Brigida Teixeira; Zita A. Vale (SSCI, 2016)

Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets. - Francisco Silva 001; Brigida Teixeira; Tiago Pinto; Isabel Praça; Goreti Marreiros; Zita A. Vale (ISAmI, 2017)

Tools Control Center to Enable the Joint Simulation of Multi-agent Systems. - Brigida Teixeira; Tiago Pinto; Gabriel Santos; Isabel Praça; Zita A. Vale (PAAMS (Special Sessions), 2017)

Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation. - Brigida Teixeira; Francisco Silva 001; Tiago Pinto; Gabriel Santos; Isabel Praça; Zita A. Vale (PAAMS, 2018)

Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy Systems. - Brigida Teixeira; Gabriel Santos; Tiago Pinto; Zita A. Vale; Juan M. Corchado (IEEE Access, 2020)

Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach. - Daniel Ramos; Brigida Teixeira; Pedro Faria; Luis Gomes 001; Omid Abrishambaf; Zita A. Vale (Sensors, 2020)

PV Generation Forecasting Model for Energy Management in Buildings. - Brigida Teixeira; Tiago Pinto; Pedro Faria; Zita A. Vale (EPIA, 2021)

Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation. - João Carvalho; Tiago Pinto; Juan M. Home-Ortiz; Brigida Teixeira; Zita Vale; Rubén Romero 001 (DCAI (2), 2023)

Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation. - Brigida Teixeira; Ricardo Faia; Tiago Pinto; Zita Vale (DCAI (2), 2023)

Enhancing Power Forecasting Through Contextual Awareness with C-Means and K-Means Approaches. - Brigida Teixeira; Tiago Pinto; Zita Vale (DCAI (1), 2024)

Enhanced User Interaction in Mobility Decision Support Using Explainable Artificial Intelligence. - Luís Valina; Brigida Teixeira; Tiago Pinto; Zita Vale; Sonia Coelho; Susana Fontes; Arsénio Reis (HCI (64), 2024)