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 …

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 …

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 …

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

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 …

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

The electricity markets environment has changed completely with the introduction of
renewable energy sources in the energy distribution systems. With such alterations …

This paper presents a context analysis methodology to improve the management of
residential energy resources by making the decision making process adaptive to different …