Portfolio optimization of electricity markets participation using forecasting error in risk formulation
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 …
for market participation. Although the portfolio optimization problem is most popular in …
Decision support for energy contracts negotiation with game theory and adaptive learning
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 …
contract negotiations. The proposed model is based on the application of game theory …
Dynamic fuzzy clustering method for decision support in electricity markets negotiation
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 …
need to automate the tasks. They are typically used for problems that have a large response …
An ad-hoc initial solution heuristic for metaheuristic optimization of energy market participation portfolios
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 …
markets. In addition, the emergence of new forms of electric energy production, namely the …
GA optimization technique for portfolio optimization of electricity market participation
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 …
of optimal participation in multiple electricity markets. With the emergence of new …
Automatic selection of optimization algorithms for energy resource scheduling using a case-based reasoning system
This paper proposes a case-based reasoning methodology to automatically choose the
most appropriate optimization algorithms and respective parameterizations to solve the …
most appropriate optimization algorithms and respective parameterizations to solve the …
Case-based reasoning using expert systems to determine electricity reduction in residential buildings
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 …
solutions for past problems. The simplicity of this technique has made it very popular in …
Automatic Configuration of Genetic Algorithm for the Optimization of Electricity Market Participation Using Sequential Model Algorithm Configuration
Complex optimization problems are often associated to large search spaces and
consequent prohibitive execution times in finding the optimal results. This is especially …
consequent prohibitive execution times in finding the optimal results. This is especially …
Optimization of electricity markets participation with simulated annealing
The electricity markets environment has changed completely with the introduction of
renewable energy sources in the energy distribution systems. With such alterations …
renewable energy sources in the energy distribution systems. With such alterations …
Context analysis in energy resource management residential buildings
B Madureira, T Pinto, F Fernandes… - 2017 IEEE Manchester …, 2017 - ieeexplore.ieee.org
This paper presents a context analysis methodology to improve the management of
residential energy resources by making the decision making process adaptive to different …
residential energy resources by making the decision making process adaptive to different …