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Optimization Methods for Gas and Power Markets - Theory and Cases (Hardcover, 1st ed. 2015)
Loot Price: R3,039
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Optimization Methods for Gas and Power Markets - Theory and Cases (Hardcover, 1st ed. 2015)
Series: Applied Quantitative Finance
Expected to ship within 12 - 17 working days
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As power and gas markets are becoming more and more mature and
globally competitive, the importance of reaching maximum potential
economic efficiency is fundamental in all the sectors of the value
chain, from investments selection to asset optimization, trading
and sales. Optimization techniques can be used in many different
fields of the energy industry, in order to reduce production and
financial costs, increase sales revenues and mitigate all kinds of
risks potentially affecting the economic margin. For this reason
the industry has now focused its attention on the general concept
of optimization and to the different techniques (mainly
mathematical techniques) to reach it. Optimization Methods for Gas
and Power Markets presents both theoretical elements and practical
examples for solving energy optimization issues in gas and power
markets. Starting with the theoretical framework and the basic
business and economics of power and gas optimization, it quickly
moves on to review the mathematical optimization problems inherent
to the industry, and their solutions - all supported with examples
from the energy sector. Coverage ranges from very long-term (and
capital intensive) optimization problems such as investment
valuation/diversification to asset (gas and power)
optimization/hedging problems, and pure trading decisions. This
book first presents the readers with various examples of
optimization problems arising in power and gas markets, then deals
with general optimization problems and describes the mathematical
tools useful for their solution. The remainder of the book is
dedicated to presenting a number of key business cases which apply
the proposed techniques to concrete market problems. Topics include
static asset optimization, real option evaluation, dynamic
optimization of structured products like swing, virtual storage or
virtual power plant contracts and optimal trading in intra-day
power markets. As the book progresses, so too does the level of
mathematical complexity, providing readers with an appreciation of
the growing sophistication of even common problems in current
market practice. Optimization Methods for Gas and Power Markets
provides a valuable quantitative guide to the technicalities of
optimization methodologies in gas and power markets; it is
essential reading for practitioners in the energy industry and
financial sector who work in trading, quantitative analysis and
energy risk modeling.
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