Brigida Teixeira

24 papers A 1Misc 3Journal 2Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Detecting Concept Drift with SHapley Additive ExPlanations for Intelligent Model Retraining in Energy Generation Forecasting. xAI (2) Brigida Teixeira, Tiago Pinto, Zita Vale
2025	—	`conf`	Dynamic Retraining Framework for Reliable Energy Forecasting in Smart Buildings. EPIA (2) Letícia Gomes, Brigida Teixeira, Zita Vale
2025	—	`conf`	Leveraging XAI Techniques for Context-Aware Energy Consumption Forecasting. xAI (4) Brigida Teixeira, Tiago Pinto, Zita Vale
2025	A	`conf`	REACTS: Reasoning-Based, Explainable and Adaptive Contextual Tool for Smart Energy Management. ECAI Brigida Teixeira, Gabriel Santos, Letícia Gomes, David Araújo, Tiago Pinto, Zita Vale
2025	—	`conf`	Reinforcement Learning for Real-Time Price Prediction in Energy Systems. EPIA (2) David Araújo, Gabriel Santos, Brigida Teixeira, Pedro Faria, Zita Vale
2025	—	`conf`	Smart Building Platform for Energy Resource Management. CAI Brigida Teixeira, Gabriel Santos, Letícia Gomes, David Araújo, Zita Vale
2024	—	`conf`	Enhanced User Interaction in Mobility Decision Support Using Explainable Artificial Intelligence. HCI (64) Luís Valina, Brigida Teixeira, Tiago Pinto, Zita Vale, Sonia Coelho, Susana Fontes, Arsénio Reis
2024	—	`conf`	Enhancing Power Forecasting Through Contextual Awareness with C-Means and K-Means Approaches. DCAI (1) Brigida Teixeira, Tiago Pinto, Zita Vale
2024	—	`conf`	Explainable Artificial Intelligence for Deep Synthetic Data Generation Models. CAI Luís Valina, Brigida Teixeira, Arsénio Reis, Zita Vale, Tiago Pinto
2023	—	`conf`	Application of XAI-based framework for PV Energy Generation Forecasting. CAI Brigida Teixeira, Leonor Carvalhais, Tiago Pinto, Zita Vale
2023	—	`conf`	Automated energy management and learning. CAI Gabriel Santos, Brigida Teixeira, Tiago Pinto, Zita Vale
2023	—	`conf`	Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation. DCAI (2) João Carvalho, Tiago Pinto, Juan M. Home-Ortiz, Brigida Teixeira, Zita Vale, Rubén Romero
2023	—	`conf`	Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation. DCAI (2) Brigida Teixeira, Ricardo Faia, Tiago Pinto, Zita Vale
2021	Misc	`conf`	PV Generation Forecasting Model for Energy Management in Buildings. EPIA Brigida Teixeira, Tiago Pinto, Pedro Faria, Zita A. Vale
2020	J	`jnl`	Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy Systems. IEEE Access Brigida Teixeira, Gabriel Santos, Tiago Pinto, Zita A. Vale, Juan M. Corchado
2020	J	`jnl`	Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach. Sensors Daniel Ramos, Brigida Teixeira, Pedro Faria, Luis Gomes, Omid Abrishambaf, Zita A. Vale
2018	Misc	`conf`	Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation. PAAMS Brigida Teixeira, Francisco Silva, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale
2017	—	`conf`	Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets. ISAmI Francisco Silva, Brigida Teixeira, Tiago Pinto, Isabel Praça, Goreti Marreiros, Zita A. Vale
2017	—	`conf`	Tools Control Center to Enable the Joint Simulation of Multi-agent Systems. PAAMS (Special Sessions) Brigida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale
2016	—	`conf`	Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity. DEXA Workshops Francisco Silva, Brigida Teixeira, Nuno Teixeira, Tiago Pinto, Isabel Praça, Zita A. Vale
2016	—	`conf`	Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System. SSCI Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale
2016	—	`conf`	Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature. GIIS Aria Jozi, Tiago Pinto, Isabel Praça, Francisco Silva, Brigida Teixeira, Zita A. Vale
2015	Misc	`conf`	Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation. PAAMS Francisco Silva, Brigida Teixeira, Tiago Pinto, Gabriel Santos, Isabel Praça, Zita A. Vale
2014	—	`conf`	Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets. IEEE IA Brigida Teixeira, Francisco Silva, Tiago Pinto, Isabel Praça, Gabriel Santos, Zita A. Vale