Brigida Teixeira

Orcid: 0000-0002-0848-5319

According to our database1, Brigida Teixeira authored at least 23 papers between 2014 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2025
Leveraging XAI Techniques for Context-Aware Energy Consumption Forecasting.
Proceedings of the Explainable Artificial Intelligence, 2025

Detecting Concept Drift with SHapley Additive ExPlanations for Intelligent Model Retraining in Energy Generation Forecasting.
Proceedings of the Explainable Artificial Intelligence, 2025

Smart Building Platform for Energy Resource Management.
Proceedings of the IEEE Conference on Artificial Intelligence, 2025

Dynamic Retraining Framework for Reliable Energy Forecasting in Smart Buildings.
Proceedings of the Progress in Artificial Intelligence, 2025

Reinforcement Learning for Real-Time Price Prediction in Energy Systems.
Proceedings of the Progress in Artificial Intelligence, 2025

2024
Explainable Artificial Intelligence for Deep Synthetic Data Generation Models.
Proceedings of the IEEE Conference on Artificial Intelligence, 2024

Enhanced User Interaction in Mobility Decision Support Using Explainable Artificial Intelligence.
Proceedings of the HCI International 2024 - Late Breaking Papers, 2024

Enhancing Power Forecasting Through Contextual Awareness with C-Means and K-Means Approaches.
Proceedings of the Distributed Computing and Artificial Intelligence, 2024

2023
Application of XAI-based framework for PV Energy Generation Forecasting.
Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Automated energy management and learning.
Proceedings of the IEEE Conference on Artificial Intelligence, 2023

Study of Forecasting Methods' Impact in Wholesale Electricity Market Participation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

Dynamic Parameterization of Metaheuristics Using a Multi-agent System for the Optimization of Electricity Market Participation.
Proceedings of the Distributed Computing and Artificial Intelligence, 2023

2021
PV Generation Forecasting Model for Energy Management in Buildings.
Proceedings of the Progress in Artificial Intelligence, 2021

2020
Use of Sensors and Analyzers Data for Load Forecasting: A Two Stage Approach.
Sensors, 2020

Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy Systems.
IEEE Access, 2020

2018
Demonstration of Tools Control Center for Multi-agent Energy Systems Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

2017
Tools Control Center to Enable the Joint Simulation of Multi-agent Systems.
Proceedings of the Trends in Cyber-Physical Multi-Agent Systems. The PAAMS Collection, 2017

Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
Proceedings of the Ambient Intelligence - Software and Applications, 2017

2016
Energy consumption forecasting based on Hybrid Neural Fuzzy Inference System.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

Wang and Mendel's fuzzy rule learning method for energy consumption forecasting considering the influence of environmental temperature.
Proceedings of the 2016 Global Information Infrastructure and Networking Symposium, 2016

Application of a Hybrid Neural Fuzzy Inference System to Forecast Solar Intensity.
Proceedings of the 27th International Workshop on Database and Expert Systems Applications, 2016

2015
Demonstration of Realistic Multi-agent Scenario Generator for Electricity Markets Simulation.
Proceedings of the Advances in Practical Applications of Agents, Multi-Agent Systems, and Sustainability: The PAAMS Collection, 2015

2014
Data mining approach to support the generation of Realistic Scenarios for multi-agent simulation of electricity markets.
Proceedings of the 2014 IEEE Symposium on Intelligent Agents, 2014


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