Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Genetic algorithms + data structures = evolution programs (3rd ed.)
Genetic algorithms + data structures = evolution programs (3rd ed.)
Outline for a Logical Theory of Adaptive Systems
Journal of the ACM (JACM)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms and Soft Computing
Genetic Algorithms and Soft Computing
Variable selection for wind power prediction using particle swarm optimization
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Fuzzy Control For Improving Energy Management Within Indoor Building Environments
CERMA '07 Proceedings of the Electronics, Robotics and Automotive Mechanics Conference
Reducing the Variability of Wind Power Generation for Participation in Day Ahead Electricity Markets
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Reducing the Variability of Wind Power Generation for Participation in Day Ahead Electricity Markets
HICSS '08 Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences
Optimizing Building's Environments Performance Using Intelligent Systems
IEA/AIE '08 Proceedings of the 21st international conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems: New Frontiers in Applied Artificial Intelligence
A Comprehensible Approach to Develop Fuzzy Decision Trees
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
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The following paper presents a genetic fuzzy model that utilizes special features, for the prediction of the wind speed variations in various time windows in the future. The model utilizes a set of meteorological stations that encircle the wind turbine clusters at a radius of 15km or more. The system has been applied using data collected over a period of 2 years at locations in the northern part of South Patagonia, Argentina, in the area called San Jorge Gulf. It achieves an understanding of the problem autonomously. A user intervention to assist the training process is not needed while there is also no need for a certain parameters' initialization, like in other methods, which contributes to the model's robustness.