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Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology

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Analytics and Optimization for Renewable Energy Integration (Paperback) Loot Price: R1,595

Discovery Miles 15 950

Repayment Terms: R149 pm x 12*

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Analytics and Optimization for Renewable Energy Integration (Paperback): Ning Zhang, Chongqing Kang, Ershun Du, Yi Wang

Analytics and Optimization for Renewable Energy Integration (Paperback)

Ning Zhang, Chongqing Kang, Ershun Du, Yi Wang

Series: Energy Analytics

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Loot Price R1,595 Discovery Miles 15 950 | Repayment Terms: R149 pm x 12*

Expected to ship within 12 - 19 working days

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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.

General

Imprint:	Taylor & Francis
Country of origin:	United Kingdom
Series:	Energy Analytics
Release date:	August 2022
First published:	2019
Authors:	Ning Zhang • Chongqing Kang • Ershun Du • Yi Wang
Dimensions:	234 x 156 x 28mm (L x W x T)
Format:	Paperback
Pages:	394
ISBN-13:	978-1-03-240163-8
Categories:	Books > Professional & Technical > Energy technology & engineering > Alternative & renewable energy sources & technology Books > Professional & Technical > Energy technology & engineering > Electrical engineering > Power generation & distribution Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > General Promotions
LSN:	1-03-240163-X
Barcode:	9781032401638