£108.89

Academic Press Decision Science and Operations Management of Solar Energy Systems

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£109 today · all-time low £105 (Oct 2025) · usually the usual

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£118.06 £103.68 £106.82 £109.96 £113.09 £116.23 £119.37 01 July 2024 30 November 2024 01 May 2025 30 September 2025 02 March 2026

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79 days 130 days 211 days 28 days 91 days · current 27 days 26 days 18 days 0 53 106 158 211 £105 £106 £107 £108 £109 £115 £116 £118 Days at Price

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Most common price: £107 (211 days, 34.6%)

Price range: £105 - £118

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Description

Decision Science and Operations Management of Solar Energy System looks beyond developing a solar power plant by also considering the requirements necessary to manage effective power plant operation for the long-term. This book includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, thus enabling readers to predict future individual solar power system forecasts using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals. The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy. Review A complete reference that includes different aspects of operational management surrounding solar energy systems From the Back Cover <p><i>Decision Science and Operations Management of Solar Energy System</i> looks beyond the scenario of just developing a solar power plant, and considers the requirements necessary to manage effective power plant operation for the long term.</p> <p>This book distinctively includes data of solar power plants and quantitative techniques of statistical analysis used to inform decision-making for solar energy systems, enabling readers to predict future individual solar power system forecasts, using different technical and financial parameters. Including data visualization, descriptive statistics, sampling techniques, plant layout, manufacturing economics, inventory management and total quality management of solar energy system, this book covers new insights as well as established fundamentals on the field of efficient solar energy systems.  </p> <p>The detailed information in this reference bridges the gap between theory and practice in the operation of solar energy systems for researchers, professionals and students working in the area of solar and renewable energy.</p> About the Author Vikas Khare is an associate professor at the School of Technology, Management and Engineering, NMIMS, Indore Madhya Pradesh, India. He obtained his B.Tech in Electrical Engineering in 2007 from GEC Sagar, M.Tech (Honors) in Energy Management from DAVV Indore in 2011, and Ph.D. from National Institute of Technology Bhopal, India in 2016, with teaching experience of 12 years. His main research interests are renewable energy systems, optimization techniques and game theory and Big Data. He is also a certified energy manager under the bureau of energy efficiency in India. Dr. Khare has published various research papers in reputed journals such as Elsevier and Taylor and Francis and published books on Renewable Energy in Balaji Publication Fundamentals of Electrical Engineering, Fundamentals of Electrical & Electronics Engineering, Fundamentals of Electronics Engineering in Dhanpat Rai Publication and one book of Tidal energy system, Elsevier publication USA. He is also Nominee member of computer society of India. Cheshta J. Khare has obtained her M.E.(Honours) in Power Electronics at SGSITS, India, where she is also pursuing her PhD in Power Systems. Mrs. Khare is an Assistant Professor in the department of Electrical Engineering at SGSITS, Indore, India Savita Nema is currently a professor in the Department of Electrical Engineering, Maulana Azad National Institute of Technology (MANIT), Bhopal, India. She received her B.E. degree in Electrical Engineering in 1990 and her M.E. degree in Control Systems in 1993, both from Jabalpur Engineering College, Madhya Pradesh, India. She went on to complete her Ph.D. degree from Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV) Bhopal, India, in 20

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
06 October 2022
Listed Since
25 August 2021

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