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Publicações

Publicações por HumanISE

2017

Automatic Selection of Optimization Algorithms for Energy Resource Scheduling using a Case-Based Reasoning System

Autores
Faia, R; Pinto, T; Sousa, T; Vale, ZA; Corchado, JM;

Publicação
Proceedings of ICCBR 2017 Workshops (CAW, CBRDL, PO-CBR), Doctoral Consortium, and Competitions co-located with the 25th International Conference on Case-Based Reasoning (ICCBR 2017), Trondheim, Norway, June 26-28, 2017.

Abstract

2017

Nord Pool Ontology to Enhance Electricity Markets Simulation in MASCEM

Autores
Santos, G; Pinto, T; Praça, I; Vale, ZA;

Publicação
Progress in Artificial Intelligence - 18th EPIA Conference on Artificial Intelligence, EPIA 2017, Porto, Portugal, September 5-8, 2017, Proceedings

Abstract

2017

Organization-based Multi-Agent structure of the Smart Home Electricity System

Autores
Gazafroudi, AS; Pinto, T; Castrillo, FP; Prieto, J; Corchado, JM; Jozi, A; Vale, ZA; Venayagamoorthy, GK;

Publicação
2017 IEEE Congress on Evolutionary Computation, CEC 2017, Donostia, San Sebastián, Spain, June 5-8, 2017

Abstract

2017

Bilateral contract prices estimation using a Q-leaming based approach

Autores
Rodriguez-Fernandez, J; Pinto, T; Silva, F; Praca, I; Vale, Z; Corchado, JM;

Publicação
2017 IEEE Symposium Series on Computational Intelligence (SSCI)

Abstract

2017

EPEX Ontology: Enhancing Agent-based Electricity Market Simulation

Autores
Santos, G; Pinto, T; Praça, I; Vale, Z;

Publicação
2017 19TH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEM APPLICATION TO POWER SYSTEMS (ISAP)

Abstract
Electricity markets worldwide are complex and dynamic environments with very particular characteristics. The markets' restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources are the main drivers. Multi-agent based software is particularly well fitted to analyse dynamic and adaptive systems with complex interactions among its constituents, such as electricity markets. This paper proposes the use of ontologies to enable the exchange of information and knowledge, to test different market models and to allow market players from different systems to interact in common market environments. Focusing, namely, on the EPEX electricity market.

2017

Reserve costs allocation model for energy and reserve market simulation

Autores
Pinto, T; Gazafroudi, AS; Prieto Castrillo, F; Santos, G; Silva, F; Corchado, JM; Vale, Z;

Publicação
2017 19th International Conference on Intelligent System Application to Power Systems, ISAP 2017

Abstract
This paper proposes a new model to allocate reserve costs among the involved players, considering the characteristics of the several entities, and the particular circumstances at each moment. The proposed model is integrated in the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM), which enables complementing the multi-agent simulation of diverse electricity market models, by including the joint simulation of energy and reserve markets. In this context, the proposed model allows allocating the payment of reserve costs that result from the reserve market. A simulation based on real data from the Iberian electricity market - MIBEL, is presented. Simulation results show the advantages of the proposed model in sharing the reserve costs fairly and accordingly to the different circumstances. This work thus contributes the study of novel market models towards the evolution of power and energy systems by adapting current models to the new paradigm of high penetration of renewable energy generation. © 2017 IEEE.

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