Energy Management-Collective and Computational Intelligence with Theory and Applications

Presents cases and examples of collective and computational intelligence applications in the energy industry
Includes collective and computational intelligence techniques such as ant colony optimization, swarm optimization, simulated annealing, genetic algorithms, neural networks, fuzzy sets
Gives insights for investigation and projection of energy plans and schedules using the most recent analytical methods classified in collective and computational intelligence

Inhalt

Complexity in Energy Systems.- Fuzzy Sets Applications in Complex Energy Systems: A literature review.- Fuzzy Forecasting Methods for Energy Planning.- Wind Energy Investment Analyses Based on Fuzzy Sets.- Strategic Analysis of Solar Energy Pricing Process with Hesitant Fuzzy Cognitive Map.- Electrical Vehicle charging coordination algorithms framework.