Predictive Modelling for Energy Management and Power Systems Engineering Books

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Predictive Modelling for Energy Management and Power Systems Engineering


Predictive Modelling for Energy Management and Power Systems Engineering
  • Author : Ravinesh Deo
  • Publisher : Elsevier
  • Release : 2020-09-30
  • ISBN : 9780128177730
  • Language : En, Es, Fr & De
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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

Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering


Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering
  • Author : Kim, Dookie
  • Publisher : IGI Global
  • Release : 2018-06-15
  • ISBN : 9781522547679
  • Language : En, Es, Fr & De
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The disciplines of science and engineering rely heavily on the forecasting of prospective constraints for concepts that have not yet been proven to exist, especially in areas such as artificial intelligence. Obtaining quality solutions to the problems presented becomes increasingly difficult due to the number of steps required to sift through the possible solutions, and the ability to solve such problems relies on the recognition of patterns and the categorization of data into specific sets. Predictive modeling and optimization methods allow unknown events to be categorized based on statistics and classifiers input by researchers. The Handbook of Research on Predictive Modeling and Optimization Methods in Science and Engineering is a critical reference source that provides comprehensive information on the use of optimization techniques and predictive models to solve real-life engineering and science problems. Through discussions on techniques such as robust design optimization, water level prediction, and the prediction of human actions, this publication identifies solutions to developing problems and new solutions for existing problems, making this publication a valuable resource for engineers, researchers, graduate students, and other professionals.

Energy Abstracts for Policy Analysis


Energy Abstracts for Policy Analysis
  • Author :
  • Publisher :
  • Release : 1981
  • ISBN : MSU:31293201570482
  • Language : En, Es, Fr & De
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Comprehensive Energy Management Safe Adaptation Predictive Control and Thermal Management


Comprehensive Energy Management   Safe Adaptation  Predictive Control and Thermal Management
  • Author : Daniel Watzenig
  • Publisher : Springer
  • Release : 2017-07-03
  • ISBN : 9783319574455
  • Language : En, Es, Fr & De
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The book discusses the emerging topic of comprehensive energy management in electric vehicles from the viewpoint of academia and from the industrial perspective. It provides a seamless coverage of all relevant systems and control algorithms for comprehensive energy management, their integration on a multi-core system and their reliability assurance (validation and test). Relevant European projects contributing to the evolvement of comprehensive energy management in fully electric vehicles are also included. This volume includes contributions on model based functional safety and fault-tolerant E/E architectures, advanced control making use of external information (from a cloud) as well and thermal management as a central part for energy optimization and finally some aspects on fuel cells. The second volume (ISBN .....) includes chapters on ECO driving and ECO routing covering different approaches for optimal speed profiles for a given route (mostly interconnecting with cloud data).

Distributed Energy Management of Electrical Power Systems


Distributed Energy Management of Electrical Power Systems
  • Author : Yinliang Xu
  • Publisher : John Wiley & Sons
  • Release : 2020-12-15
  • ISBN : 9781119534877
  • Language : En, Es, Fr & De
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Go in-depth with this comprehensive discussion of distributed energy management Distributed Energy Management of Electrical Power Systems provides the most complete analysis of fully distributed control approaches and their applications for electric power systems available today. Authored by four respected leaders in the field, the book covers the technical aspects of control, operation management, and optimization of electric power systems. In each chapter, the book covers the foundations and fundamentals of the topic under discussion. It then moves on to more advanced applications. Topics reviewed in the book include: System-level coordinated control Optimization of active and reactive power in power grids The coordinated control of distributed generation, elastic load and energy storage systems Distributed Energy Management incorporates discussions of emerging and future technologies and their potential effects on electrical power systems. The increased impact of renewable energy sources is also covered. Perfect for industry practitioners and graduate students in the field of power systems, Distributed Energy Management remains the leading reference for anyone with an interest in its fascinating subject matter.