{"product_id":"machine-learning-and-data-science-in-the-power-generation-industry-best-practices-tools-and-case-studies-paperback-9780128197424","title":"Machine Learning and Data Science in the Power Generation Industry; Best Practices, Tools, and Case Studies (Paperback) 9780128197424","description":"\u003cfont face=\"Georgia\"\u003e\r\n\u003cp\u003e\u003cfont size=\"6\"\u003eMachine Learning and Data Science in the Power Generation Industry\u003c\/font\u003e\u003cbr\u003e\r\n\u003cfont size=\"5\"\u003eBest Practices, Tools, and Case Studies\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cem\u003eExplores cutting-edge research in machine learning and applies it to problems in the power-generation industry to highlight current best practices\u003c\/em\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003cp\u003e\u003cfont size=\"4\"\u003ePatrick Bangert (Edited by)\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e9780128197424, Elsevier Science\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003ePaperback, published 18 January 2021\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e274 pages\u003cbr\u003e23.4 x 19 x 1.8 cm, 0.59 kg\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\r\n\r\n\r\n\u003cp align=\"justify\"\u003e\u003cstrong\u003e\u003cfont size=\"3\"\u003e\u003ci\u003eMachine Learning and Data Science in the Power Generation Industry\u003c\/i\u003e explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine learning methods, with a discussion on data selection and curation as well as organizational implementation in terms of staffing and continuing operationalization. It articulates a body of case study–driven best practices, including renewable energy sources, the smart grid, and the finances around spot markets, and forecasting.\u003c\/font\u003e\u003c\/strong\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003e1. Introduction\u003cbr\u003e\u003ci\u003ePatrick Bangert\u003c\/i\u003e\u003cbr\u003e2. Data science, statistics, and time series\u003cbr\u003e\u003ci\u003ePatrick Bangert\u003c\/i\u003e\u003cbr\u003e3. Machine learning\u003cbr\u003e\u003ci\u003ePatrick Bangert\u003c\/i\u003e\u003cbr\u003e4. Introduction to machine learning in the power generation industry\u003cbr\u003e\u003ci\u003ePatrick Bangert\u003c\/i\u003e\u003cbr\u003e5. Data management from the DCS to the historian and HMI\u003cbr\u003e\u003ci\u003eJim Crompton\u003c\/i\u003e\u003cbr\u003e6. Getting the most across the value chain\u003cbr\u003e\u003ci\u003eRobert Maglalang\u003c\/i\u003e\u003cbr\u003e7. Project management for a machine learning project\u003cbr\u003e\u003ci\u003ePeter Dabrowski\u003c\/i\u003e\u003cbr\u003e8. Machine learning-based PV power forecasting methods for electrical grid management and energy trading\u003cbr\u003e\u003ci\u003eMarco Pierro, David Moser, and Cristina Cornaro\u003cbr\u003e\u003c\/i\u003e9. Electrical consumption forecasting in hospital facilities\u003cbr\u003e\u003ci\u003eA. Bagnasco, F. Fresi, M. Saviozzi, F. Silvestro, and A. Vinci\u003c\/i\u003e\u003cbr\u003e10. Soft sensors for NOx emissions\u003cbr\u003e\u003ci\u003ePatrick Bangert\u003c\/i\u003e\u003cbr\u003e11. Variable identification for power plant efficiency\u003cbr\u003e\u003ci\u003eStewart Nicholson and Patrick Bangert\u003c\/i\u003e\u003cbr\u003e12. Forecasting wind power plant failures\u003cbr\u003e\u003ci\u003eDaniel Brenner, Dietmar Tilch, and Patrick Bangert\u003c\/i\u003e\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\u003cp\u003e\u003cfont size=\"3\"\u003eSubject Areas: Electric motors [\u003ca title=\"See our other books on Electric motors\" href=\"https:\/\/freshlyprintedbooks.co.uk\/search?q=%22Electric%20motors%20%5BTHRM%5D%22\"\u003eTHRM\u003c\/a\u003e]\u003c\/font\u003e\u003c\/p\u003e\r\n\r\n\r\n\u003c\/font\u003e","brand":"Elsevier","offers":[{"title":"Default Title","offer_id":46650155794712,"sku":"9780128197424","price":94.49,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0730\/2037\/5320\/products\/9780128197424.jpg?v=1694106087","url":"https:\/\/freshlyprintedbooks.co.uk\/products\/machine-learning-and-data-science-in-the-power-generation-industry-best-practices-tools-and-case-studies-paperback-9780128197424","provider":"Freshly Printed Books","version":"1.0","type":"link"}