Brigida Teixeira

According to our database1, Brigida Teixeira authored at least 11 papers between 2014 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

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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