{"product_id":"9781032401638","title":"Analytics And Optimization For Renewable Energy Integration (Energy Analytics)","description":"The scope of this book covers the modeling and forecast of renewable energy, and operation and planning of power system with renewable energy integration. The first part presents stochastic mathematic theories used for this book; the second part presents modeling and analytic techniques for renewable energy, including short term and long term uncertainty modeling, forecast, output simulation, and scenario clustering; the third part provides solutions on how to handle the uncertainty of renewable energy in power system operation, including advanced stochastic unit commitment, probabilistic load flow, market bidding strategy, and tie-line scheduling: the last part introduces planning approaches for renewable energy integration, including long term power system operation simulation, capacity credit assessment, generation and transmission planning with renewable energy integration. Book jacket.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cul\u003e\n\u003cli\u003e| \u003cb\u003eAuthor: \u003c\/b\u003eNing Zhang, Chongqing Kang, Ershun Du, Yi Wang\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003ePublisher: \u003c\/b\u003eCrc Press\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003ePublication Date: \u003c\/b\u003eAug 29, 2022\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eNumber of Pages: \u003c\/b\u003e394 pages\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eLanguage: \u003c\/b\u003eEnglish\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eBinding: \u003c\/b\u003ePaperback\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eISBN-10: \u003c\/b\u003e103240163X\u003c\/li\u003e\n\u003cli\u003e| \u003cb\u003eISBN-13: \u003c\/b\u003e9781032401638\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Crc Press","offers":[{"title":"Default Title","offer_id":48504755487025,"sku":"9781032401638","price":81.66,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0798\/8215\/8385\/products\/9781032401638.jpg?v=1710537342","url":"https:\/\/www.recomparo.com\/products\/9781032401638","provider":"ReComparo.com","version":"1.0","type":"link"}