menu
{ "item_title" : "Three Domain Modelling and Uncertainty Analysis", "item_author" : [" Atom Mirakyan", "Roland De Guio "], "item_description" : "This book examines in detail the planning and modelling of local infrastructure like energy systems, including the complexities resulting from various uncertainties. Readers will discover the individual steps involved in infrastructure planning in cities and territories, as well as the primary requirements and supporting quality factors. Further topics covered concern the field of uncertainty and its synergies with infrastructure planning. Theories, methodological backgrounds and concrete case studies will not only help readers to understand the proposed methodologies for modelling and uncertainty analysis, but will also show them how these approaches are implemented in practice. ", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/3/31/919/571/3319195719_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Three Domain Modelling and Uncertainty Analysis|Atom Mirakyan

Three Domain Modelling and Uncertainty Analysis : Applications in Long Range Infrastructure Planning

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

Overview

This book examines in detail the planning and modelling of local infrastructure like energy systems, including the complexities resulting from various uncertainties. Readers will discover the individual steps involved in infrastructure planning in cities and territories, as well as the primary requirements and supporting quality factors. Further topics covered concern the field of uncertainty and its synergies with infrastructure planning. Theories, methodological backgrounds and concrete case studies will not only help readers to understand the proposed methodologies for modelling and uncertainty analysis, but will also show them how these approaches are implemented in practice.

This item is Non-Returnable

Details

  • ISBN-13: 9783319195711
  • ISBN-10: 3319195719
  • Publisher: Springer
  • Publish Date: June 2015
  • Dimensions: 9.21 x 6.14 x 0.56 inches
  • Shipping Weight: 1.1 pounds
  • Page Count: 206

Related Categories

You May Also Like...

    1

BAM Customer Reviews