A Practical Guide to the Retail Rate Setting Process for Regulated Electric and Natural Gas Utilities. This book explains how the traditional rate-setting process is commonly done for energy utilities. This book includes a discussion of revenue requirement, rate base, cost of capital, expenses, revenues, rate-making objectives, cost of service studies, rate design, the rate case process, tariff policies, metering, service quality and other types of cases affecting rates. The book concludes with a numerical example showing the calculation steps from revenue requirement to rate design.

This book offers an in-depth and up-to-date review of different statistical tools that can be used to analyze and forecast the dynamics of two crucial for every energy company processes—electricity prices and loads. It provides coverage of seasonal decomposition, mean reversion, heavy-tailed distributions, exponential smoothing, spike preprocessing, autoregressive time series including models with exogenous variables and heteroskedastic (GARCH) components, regime-switching models, interval forecasts, jump-diffusion models, derivatives pricing and the market price of risk. Modeling and Forecasting Electricity Loads and Prices is packaged with a CD containing both the data and detailed examples of implementation of different techniques in Matlab, with additional examples in SAS. A reader can retrace all the intermediate steps of a practical implementation of a model and test his understanding of the method and correctness of the computer code using the same input data. The book will be of particular interest to the quants employed by the utilities, independent power generators and marketers, energy trading desks of the hedge funds and financial institutions, and the executives attending courses designed to help them to brush up on their technical skills. The text will be also of use to graduate students in electrical engineering, econometrics and finance wanting to get a grip on advanced statistical tools applied in this hot area. In fact, there are sixteen Case Studies in the book making it a self-contained tutorial to electricity load and price modeling and forecasting.

Agricultural yields have increased steadily in the last half century, particularly since the Green Revolution. At the same time, inflation-adjusted agricultural commodity prices have been trending downward as increases in supply outpace the growth of demand. Recent severe weather events, biofuel mandates, and a switch toward a more meat-heavy diet in emerging economies have nevertheless boosted commodity prices. Whether this is a temporary jump or the beginning of a longer-term trend is an open question. Agricultural Productivity and Producer Behavior examines the factors contributing to the remarkably steady increase in global yields and assesses whether yield growth can continue. This research also considers whether agricultural productivity growth has been, and will be, associated with significant environmental externalities. Among the topics studied are genetically modified crops; changing climatic factors; farm production responses to government regulations including crop insurance, transport subsidies, and electricity subsidies for groundwater extraction; and the role of specific farm practices such as crop diversification, disease management, and water-saving methods. This research provides new evidence that technological as well as policy choices influence agricultural productivity.

Packed with case studies and practical real-world examples, Electricity Marginal Cost Pricing Principles allows regulators, engineers and energy economists to choose the pricing model that best fits their individual market. Written by an author with 13 years of practical experience, the book begins with a clear and rigorous explanation of the theory of efficient pricing and how it impacts investor-owned, publicly-owned, and cooperatively-owned utilities using tried and true methods such as multiple-output, functional form, and multiproduct cost models. The author then moves on to include self-contained chapters on applying estimating cost models, including a cubic cost specification and policy implications while supplying actual data and examples to allow regulators, energy economists, and engineers to get a feel for the methods with which efficient prices are derived in today’s challenging electricity market. A guide to cost issues surrounding the generation, transmission, and distribution of electricity Clearly explains cost models which can yield the marginal cost of supplying electricity to end-users Real-world examples that are practical, meaningful, and easy to understand Explans the policy implications of each example Provide suggestions to aid in the formation of the optimal market price