The challenges currently facing particIpants m competitive electricity
markets are unique and staggering: unprecedented price volatility, a
crippling lack of historical market data on which to test new modeling
approaches, and a continuously changing regulatory structure. Meeting
these challenges will require the knowledge and experience of both the
engineering and finance communities. Yet the two communities continue to
largely ignore each other. The finance community believes that
engineering models are too detailed and complex to be practically
applicable in the fast changing market environment. Engineers counter
that the finance models are merely statistical regressions, lacking the
necessary structure to capture the true dynamic properties of complex
power systems. While both views have merit, neither group has by
themselves been able to produce effective tools for meeting industry
challenges. The goal of this book is to convey the fundamental
differences between electricity and other traded commodities, and the
impact these differences have on valuation, hedging and operational
decisions made by market participants. The optimization problems
associated with these decisions are formulated in the context of the
market realities of today's power industry, including a lack of
liquidity on forward and options markets, limited availability of
historical data, and constantly changing regulatory structures.