Predictive Modelling for Energy Management and Power Systems Engineering

Download or Read online Predictive Modelling for Energy Management and Power Systems Engineering full in PDF, ePub and kindle. This book written by Ravinesh Deo and published by Elsevier which was released on 30 September 2020 with total pages 552. We cannot guarantee that Predictive Modelling for Energy Management and Power Systems Engineering book is available in the library, click Get Book button to download or read online books. Join over 650.000 happy Readers and READ as many books as you like.

Predictive Modelling for Energy Management and Power Systems Engineering
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Publisher : Elsevier
Release Date :
ISBN : 9780128177730
Pages : 552 pages
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Download or Read Online Predictive Modelling for Energy Management and Power Systems Engineering in PDF, Epub and Kindle

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. Presents advanced optimization techniques to improve existing energy demand system Provides data-analytic models and their practical relevance in proven case studies Explores novel developments in machine-learning and artificial intelligence applied in energy management Provides modeling theory in an easy-to-read format

Predictive Modelling for Energy Management and Power Systems Engineering

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

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Model predictive control (MPC) is a method for controlling a process while satisfying a set of constraints. The use of MPC for controlling power systems has been gaining traction in recent years. This work presents the use of MPC for distributed renewable power generation in microgrids.

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