Recent changes in the energy sector are increasing the importance of portfolio optimization
for market participation. Although the portfolio optimization problem is most popular in …

This paper presents a decision support methodology for electricity market players' bilateral
contract negotiations. The proposed model is based on the application of game theory …

Artificial Intelligence (AI) methods contribute to the construction of systems where there is a
need to automate the tasks. They are typically used for problems that have a large response …

This paper presents a methodology based on genetic Algorithms (GA) to solve the problem
of optimal participation in multiple electricity markets. With the emergence of new …

The deregulation of the electricity sector has culminated in the introduction of competitive
markets. In addition, the emergence of new forms of electric energy production, namely the …

Complex optimization problems are often associated to large search spaces and
consequent prohibitive execution times in finding the optimal results. This is especially …

The effectiveness of optimizing complex problems is closely linked to the configuration of
parameters in search algorithms, especially when considering metaheuristic optimization …

This paper proposes a case-based reasoning methodology to automatically choose the
most appropriate optimization algorithms and respective parameterizations to solve the …

A eficácia da otimização de problemas complexos está intimamente ligada à configuração
de parâmetros em algoritmos meta-heurísticos. Embora já tenham sido propostos métodos …

Case-based reasoning enables solving new problems using past experience, by reusing
solutions for past problems. The simplicity of this technique has made it very popular in …