Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Genetic Optimization Techniques For Sizing And Management Of Modern Power SystemsISBN13:9780128238899ISBN10:0128238895Author:Rojas, Juan (Author), Lopez, Rodolfo (Author), Navarro, Jose (Author)Description:Genetic Optimization Techniques For Sizing And Managing Of Modern Power Systems Explores The Design And Management Of Energy Systems, Using A Genetic Algorithm As The Primary Optimization Technique Coverage Ranges Across Topics Related To Resource Estimation And Energy Systems Simulation Chapters Address The Integration Of Distributed Generation, The Management Of Electric Vehicles Charging, And Microgrids Dimensioning For Resilience Enhancement With Detailed Discussion And Solutions Using Parallel Genetic Algorithms The Work Is Suitable For Researchers And Practitioners Working In Power Systems Optimization Requiring Information For Systems Planning Purposes, Seeking Knowledge On Mathematical Models Available For Simulation And Assessment, And Relevant Applications In Developing Energy Policy Binding:Paperback, PaperbackPublisher:ElsevierPublication Date:2022-01-01Weight:0 lbsDimensions:Number of Pages:Language:English
Price: 186.65 USD
Location: USA
End Time: 2024-12-03T16:23:10.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Return policy details:
Book Title: Genetic Optimization Techniques For Sizing And Management Of...
Item Weight: 0 lbs
Item Length: 9in
Item Width: 6in
Author: Jose Antonio Dominguez Navarro, Rodolfo Dufo Lopez, Juan Miguel Lujano Rojas
Publication Name: Genetic Optimization Techniques for Sizing and Management of Modern Power Systems
Format: Trade Paperback
Language: English
Publisher: Elsevier
Publication Year: 2022
Type: Textbook
Number of Pages: 256 Pages
