Predictive Modeling for Energy Management and Power Systems
Engineering introduces readers to the cutting-edge use of big data
and large computational infrastructures in energy demand estimation
and power management systems. The book supports engineers and
scientists who seek to become familiar with advanced optimization
techniques for power systems designs, optimization techniques and
algorithms for consumer power management, and potential
applications of machine learning and artificial intelligence in
this field. The book provides modeling theory in an easy-to-read
format, verified with on-site models and case studies for specific
geographic regions and complex consumer markets.
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