Code: 20078016
Analytics and Optimization for Renewable Energy Integration
by Zhang, Ning (Tsinghua UniversityWest Main Building 3-206Haidian, Beijing, China 100084), Kang, Chongqing (Tsinghua UniversityRoom 3-204, West Academi
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 mathematical theories of stochastic mathematics; the ... more
- Language:
English - Binding: Hardback
- Number of pages: 372
Publisher: Taylor & Francis Ltd, 2019
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263.02 €
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Book synopsis
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 mathematical theories of stochastic mathematics; the second presents modeling and analytic techniques for renewable energy generation; the third provides solutions on how to handle the uncertainty of renewable energy in power system operation. It includes advanced stochastic unit commitment models to acquire the optimal generation schedule under uncertainty, efficient algorithms to calculate the probabilistic power, and an efficient operation strategy for renewable power plants participating in electricity markets.
Book details
Book category Books in English Technology, engineering, agriculture Energy technology & engineering Electrical engineering
263.02 €
- Full title: Analytics and Optimization for Renewable Energy Integration
- Author: Zhang, Ning (Tsinghua UniversityWest Main Building 3-206Haidian, Beijing, China 100084), Kang, Chongqing (Tsinghua UniversityRoom 3-204, West Academi
- Language: English
- Binding: Hardback
- Number of pages: 372
- EAN: 9781138316829
- ISBN: 9781138316829
- ID: 20078016
- Publisher: Taylor & Francis Ltd
- Weight: 716 g
- Dimensions: 162 × 240 × 29 mm
- Date of publishing: 18. February 2019
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