Skip to content
Welcome To Our Store.
100,000+ Products for Home, Medical, Office & Classroom Needs
Search
Skip to product information
1 of 2

Long-Term Modeled Projections of the Energy Sector: An Incremental Approach to Narrowing Down the Uncertainty Range - Hardcover

$178.18 USD
$178.18 USD
Sale Sold out
Shipping calculated at checkout.
In stock (100 units), ready to be shipped

Available Offers

Fastest Delivery Tomorrow With Vip DealOrder within 1 hr 8 mins.

Instant 10% Discount On HDFC Banks Credit/Debit Cards EMI and CreditCard

Secure checkout with
  • American Express
  • Apple Pay
  • Diners Club
  • Discover
  • Google Pay
  • Mastercard
  • PayPal
  • Shop Pay
  • Visa

Flight Range: Up to 1,000 meters (3,280 feet)

Maximum Speed: 45 kilometers per hour (28 miles per hour)

For all orders exceeding a value of 100USD shipping is offered for free.

Returns will be accepted for up to 10 days of Customer’s receipt or tracking number on unworn items. You, as a Customer, are obliged to inform us via email before you return the item.

Otherwise, standard shipping charges apply. Check out our delivery Terms & Conditions for more details.

View Product Details
Shopping cart
Product Product subtotal Quantity Price Product subtotal
Long-Term Modeled Projections of the Energy Sector: An Incremental Approach to Narrowing Down the Uncertainty Range - Hardcover
Long-Term Modeled Projections of the Energy Sector: An Incremental Approach to Narrowing Down the Uncertainty Range - Hardcover
Long-Term Modeled Projections of the Energy Sector: An Incremental Approach to Narrowing Down the Uncertainty Range - Hardcover
$178.18/ea
$0.00
$178.18/ea $0.00

Product Description

by Yuri D. Kononov (Author), Svetlana V. Steklova (Translator)

This book covers available approaches to improving the performance and impact of long-term projections of the national energy sector development. In turn, it introduces an original multi-stage approach to narrowing down the uncertainty range of the input data and resulting projections. Its unique contribution is that it limits the scope for each of the projection timeframe segments step-by-step. This is done in the course of iterative calculations, which employ dedicated methods and other tools to elucidate and solve top-priority problems specific to each time segment. In closing, the book provides a detailed treatment of two essential research problems: 1) long-term forecasting for regional energy markets, and 2) the quantitative assessment of a) the barriers that are likely to hinder energy sector development and b) strategic-level energy security threats.


Back Jacket

This book covers available approaches to improving the performance and impact of long-term projections of the national energy sector development. In turn, it introduces an original multi-stage approach to narrowing down the uncertainty range of the input data and resulting projections. Its unique contribution is that it limits the scope for each of the projection timeframe segments step-by-step. This is done in the course of iterative calculations, which employ dedicated methods and other tools to elucidate and solve top-priority problems specific to each time segment. In closing, the book provides a detailed treatment of two essential research problems: 1) long-term forecasting for regional energy markets, and 2) the quantitative assessment of a) the barriers that are likely to hinder energy sector development and b) strategic-level energy security threats.

Author Biography

Yuri D. Kononov - Doctor of Economics, Professor, Meritorious Scientist of the Russian Federation, Chief Researcher at the Melentiev Energy Systems Institute of the Siberian Branch of the Russian Academy of Sciences, Irkutsk, Russia. His fields of research are modeling of energy and economy interactions as well as the methods aimed at enhancing the validity of long-term projections of the energy industry development. He has 254 research publications to his credit (including the authorship and co-authorship of 16 research monographs).

Number of Pages: 98
Dimensions: 0.31 x 9.21 x 6.14 IN
Illustrated: Yes
Publication Date: January 02, 2020
you might like