Francisco Silva

Orcid: 0000-0003-4551-6732

Affiliations:
  • Politechnic of Porto, ISEP/IPP, GECAD, Knowledge Engineering and Decision Support Research Center, Institute of Engineering, Portugal


According to our database1, Francisco Silva authored at least 14 papers between 2014 and 2019.

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

Timeline

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Bibliography

2019
Identifying Most Probable Negotiation Scenario in Bilateral Contracts with Reinforcement Learning.
Proceedings of the New Knowledge in Information Systems and Technologies, 2019

Decision Support System for Opponents Selection in Electricity Markets Bilateral Negotiations.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
A context-based building security alarm through power and sensors analysis.
Energy Inform., 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

Optimizing Opponents Selection in Bilateral Contracts Negotiation with Particle Swarm.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

Reputation Computational Model to Support Electricity Market Players Energy Contracts Negotiation.
Proceedings of the Highlights of Practical Applications of Agents, Multi-Agent Systems, and Complexity: The PAAMS Collection, 2018

2017
Bilateral contract prices estimation using a Q-leaming based approach.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Decision Support System for the Negotiation of Bilateral Contracts in Electricity Markets.
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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