Abstract: In this paper we address the issue of modeling spot electricity prices. After summarizing the stylized facts about spot electricity prices, we review a number of models proposed in the literature. Afterwards we fit a jump diffusion and a regime switching model to spot prices from the Nordic power exchange and discuss the pros and cons of each one.

Abstract: List of Contributors.Preface.1 Structural and Behavioural Foundations of Competitive Electricity Prices (Derek W. Bunn).PART I: PRICES AND STRATEGIC COMPETITION.2 Competitors' Response Representation for Market Simulation in the Spanish Daily Market (Efraim Centeno Hernaez, Julian Barquin Gil, Jose Ignacio de la Fuente Leon, Antonio Munoz San Roque, Mariano J. Ventosa Rodriguez, Javier Garcia Gonzalez, Alicia Mateo Gonzalez, and Agustin Martin Calmarza).2.1 Introduction.2.2 Hourly bidding-based Spanish electricity markets.2.3 A two-phase clustering procedure for the analysis of bid functions.2.4 Forecasting methods for residual demand functions using time series (ARIMA) models.2.5 Discovering electricity market states for forecasting the residual demand function using input output hidden Markov models.2.6 Conjectural variations approach for modelling electricity markets.2.7 Conclusions.Appendix: Nomenclature.References.3 Complementarity-Based Equilibrium Modeling for Electric Power Markets (Benjamin F. Hobbs and Udi Helman).3.1 Introduction.3.2 Definitions.3.3 A general complementarity-based model of energy commodity markets.3.4 A comparison of two approaches to modeling Cournot generators on a transmission network.3.5 A large-scale application: the North American Eastern Interconnection.3.6 Conclusion.Acknowledgments.References.4 Price Impact of Horizontal Mergers in the British Generation Market (John Bower).4.1 Introduction.4.2 England and Wales wholesale electricity market.4.3 Analysis.4.4 Price forecast.General references.Ofgem references.PART II: SPOT MARKET DYNAMICS.5 Testing for Weekly Seasonal Unit Roots in the Spanish Power Pool (Angel Le-on and Antonio Rubia).5.1 Introduction.5.2 Data.5.3 Testing for seasonal unit roots.5.4 Concluding remarks.Appendix A: Prewhitening procedure.Appendix B: Critical values of the HEGY test.Acknowledgements.References.6 Nonlinear Time Series Analysis of Alberta's Deregulated Electricity Market (Apostolos Serletis and Ioannis Andreadis).6.1 Introduction.6.2 A noise model.6.3 A multifractal formalism setting.6.4 On turbulent behavior.6.5 On nonlinearity.6.6 On chaos.6.7 Conclusion.Acknowledgments.References.7 Quantile-Based Probabilistic Models for Electricity Prices (Shi-Jie Deng and Wenjiang Jiang).7.1 Introduction.7.2 Quantile-based distributions and the modelling of marginal distributions of electricity price.7.3 Quantile-GARCH models and the modelling of time series of electricity price.7.4 Parameter Inference.7.5 Conclusion.Acknowledgements.References.8 Forecasting Time-Varying Covariance Matrices in the Intradaily Spot Market of Argentina (Angel Leon and Antonio Rubia).8.1 Introduction.8.2 VAR analysis for block bids.8.3 Modelling the conditional covariance matrix.8.4 Forecasting conditional covariance matrices.8.5 Concluding remarks.Acknowledgements.References.PART III: SPATIAL PRICE INTERACTIONS.9 Identifying Dynamic Interactions in Western US Spot Markets (Christine A. Jerko, James W. Mjelde and David A. Bessler).9.1 Introduction.9.2 Data.9.3 Methods.9.4 Results.9.5 Discussion.References.10 Transmission of Prices and Volatility in the Australian Electricity Spot Markets (Andrew C. Worthington and Helen Higgs).10.1 Introduction.10.2 Data and summary statistics.10.3 Multivariate GARCH model.10.4 Empirical results.10.5 Conclusion.References.PART IV: FORWARD PRICES.11 Forecasting Higher Moments of the Power Price Using Medium-Term Equilibrium Economics and the Value of Security of Supply (Chris Harris).11.1 Introduction.11.2 Construction of the moments of price.11.3 Worked example.11.4 Commentary.11.5 Conclusions.References.12 Modeling Electricity Forward Curve Dynamics in the Nordic Market (Nicolas Audet, Pirja Heiskanen, Jussi Keppo and Iivo Vehvilainen).12.1 Introduction.12.2 The model.12.3 Forward model in the Nordic market.12.4 Model usage examples.12.5 Conclusion.Appendix: Estimation of model parameters.Acknowledgments.References.13 The Forward Curve Dynamic and Market Transition Forecasts (Svetlana Borovkova).13.1 The term structure of commodity futures prices.13.2 Forecasting market transitions.13.3 Critical regions and bootstrap methods.13.4 Application to electricity and oil futures.13.5 Concluding remarks.References.PART V: FORECASTING AND RISK MANAGEMENT.14 Price Modelling for Profit at Risk Management (Jacob Lemming).14.1 Introduction.14.2 Electricity price modelling.14.3 A profit at risk risk management model.14.4 Modelling input parameters.14.5 Experimental results.14.6 Conclusions.References.15 ForecastingWeather Variable Densities for Weather Derivatives and Electricity Prices (James W. Taylor).15.1 Introduction.15.2 Weather ensemble predictions.15.3 Univariate time series modelling of weather variables.15.4 Empirical comparison of weather point forecasts.15.5 Empirical comparison of weather quantile forecasts.15.6 Summary of the analysis of temperature, wind speed and cloud cover.15.7 Forecasting the payoff density for a weather derivative.15.8 Electricity demand modelling.15.9 Concluding comments.References.Index.

Abstract: A system for providing remote monitoring of electricity consumption is provided. Briefly described, in one embodiment the system may comprise a plurality of electric meters, a plurality of communication devices having a unique address and defining a wireless communication network, and a site controller. Each of the plurality of electric meters may be configured to measure the electricity consumption of a load attached to the electric meter. Each of the plurality of communication devices may be associated with one of the plurality of electric meters and configured to receive data related to the electricity consumption of the electric meter data and generate a transmit message using a predefined communication protocol being implemented by the wireless communication network. The transmit message may comprise the unique identifier and the data related to the electricity consumption of the electric meter. The site controller may be configured for communication with the wireless communication network and configured to receive the transmit message from one of the plurality of communication devices, identify the electric meter associated with the transmit message, and provide information related to the transmit message to a wide area network for delivery to a host computer.

Abstract: In the wake of mass blackouts and energy crises, wind power remains a largely untapped resource of renewable energy. It is a booming worldwide industry whose technology, under the collective wing of aficionados like author Paul Gipe, is coming of age. Wind Power guides us through the emergent, sometimes daunting discourse on wind technology, giving frank explanations of how to use wind technology wisely and sound advice on how to avoid common mistakes. Since the mid-1970s, Paul Gipe has played a part in nearly every aspect of wind energy's development--from installing small turbines to promoting wind energy worldwide. As an American proponent of renewable energy, Gipe has earned the acclaim and respect of European energy specialists for years, but his arguments have often fallen on deaf ears at home. Today, the topic of wind power is cropping up everywhere from the beaches of Cape Cod to the Oregon-Washington border, and one wind turbine is capable of producing enough electricity per year to run 200 average American households. Now, Paul Gipe is back to shed light on this increasingly important energy source with a revised edition of Wind Power. Over the course of his career, Paul Gipe has been a proponent, participant, observer, and critic of the wind industry. His experience with wind has given rise to two previous books on the subject, Wind Energy Basics and Wind Power for Home and Business, which have sold over 50,000 copies. Wind Power for Home and Business has become a staple for both homeowners and professionals interested in the subject, and now, with energy prices soaring, interest in wind power is hitting an all-time high. With chapters on output and economics, Wind Power discloses how much you can expect from each method of wind technology, both in terms of energy and financial savings. The book's updated models, graphics, and weighty appendixes make it an invaluable reference for everyone interested in the emerging trend of wind power and renewable energy. Executive Director of the American Wind Energy Association Randall Swisher has said, "In the last two decades, no one has done more that Paul Gipe to bring wind energy to the public's attention."

Abstract: Two aspects of investment in generation capacity in liberalized electricity markets are investigated: the question of whether investment will be sufficient to meet society's goals for the reliability of electricity supply (generation adequacy) and the question of how to coordinate investment in electricity generation capacity in a competitive market while bound by the physical requirements and limitations of the electricity networks. The study focuses on the situation in European electricity markets. A number of factors discourage generating companies from investing in a level of generation capacity that is optimal for society as a whole. Due to the limited possibilities for the storage of electricity and the low price-elasticity of demand, electricity prices are highly volatile. This, in addition to the lack of historical trend data (due to the short history of liberalized electricity markets), insufficient transparency and high capital costs, causes investment risk to be high. Investment risk is increased by several sources of regulatory uncertainty. Given these circumstances, it is rational for investors to be cautious. A number of policy options for improving investment incentives and for stabilizing the volume of generation capacity, called capacity mechanisms, are described and analyzed. A policy framework is introduced for evaluating them and deciding on the best policy options for different circumstances. With respect to the issue of coordinating investment in electricity generation capacity with the networks, the consequences of the choice for fixed transmission tariffs in most European countries were investigated. While fixed transmission tariffs are intended to make the market simple and transparent, paradoxically they create the need for several additional measures to compensate for their external effects. Among these, the implementation of a congestion management method ranks among the most necessary measures. The options for congestion management, given the choice for fixed transmission tariffs, are analyzed and compared.

Abstract: This Guide describes a high level, technology-neutral framework for assessing potential benefits from and economic market potential for energy storage used for electric utility-related applications. In the United States use of electricity storage to support and optimize transmission and distribution (T&D) services has been limited due to high storage system cost and by limited experience with storage system design and operation. Recent improvement of energy storage and power electronics technologies, coupled with changes in the electricity marketplace, indicate an era of expanding opportunity for electricity storage as a cost-effective electric resource. Some recent developments (in no particular order) that drive the opportunity include: (1) states adoption of the renewables portfolio standard (RPS), which may increased use of renewable generation with intermittent output, (2) financial risk leading to limited investment in new transmission capacity, coupled with increasing congestion on some transmission lines, (3) regional peaking generation capacity constraints, and (4) increasing emphasis on locational marginal pricing (LMP).

Abstract: We present an algorithm for the valuation and optimal operation of hydroelectric and thermal power generators in deregulated electricity markets. Real options theory is used to derive nonlinear partial-integro-differential equations (PIDEs) for the valuation and optimal operating strategies of both types of facilities. The equations are designed to incorporate a wide class of spot price models that can exhibit the same time-dependent, mean-reverting dynamics and price spikes as those observed in most electricity markets. Particular attention is paid to the operational characteristics of real power generators. For thermal power plants, these characteristics include variable start-up times and costs, control response time lags, minimum generating levels, nonlinear output functions, and structural limitations on ramp rates. For hydroelectric units, head effects and environmental constraints are addressed. We illustrate the models with numerical examples of a pump storage facility and a thermal power plant. This PIDE framework can achieve high levels of computational speed and accuracy while incorporating a wide range of spot price dynamics and operational characteristics.

Abstract: We address the issue of modeling spot electricity prices with regime switching models. After reviewing the stylized facts about power markets we propose and fit various models to spot prices from the Nordic power exchange. Afterwards we assess their performance by comparing simulated and market prices.

Abstract: This paper measures the effects of information on residential demand for electricity, using data from a Japanese experiment. In the experiment, households had a continuous-display, electricity use monitoring device installed at their residence. The monitor was designed so that each consumer could easily look at graphs and tables associated with the consumer's own usage of electricity at any time during the experiment. The panel data were used to estimate a random effects model of electricity and count data models of monitor usage. The results indicate that monitor usage contributed to energy conservation.

Abstract: The integration of distributed systems into the main electricity networks is a fairly new phenomenon and presents many challenges. Islanding in the context of distributed generation is the situation where a portion of the distribution system becomes isolated from the remainder of the power system, yet continues to be energized by distributed generators. Failure to trip the affected generators can lead to problems. This report reviews the status and performance of all major anti-islanding techniques. Synchronous generators present more of a problem than inverter-based ones, require different techniques and are the focus of most anti-islanding efforts. The system of passive frequency-based relays is the most attractive for synchronous generators. Islanding detection can be either remote (that is, it relies on communications) or local and built-in. The report recommends several programs to investigate, in the Canadian context, such things as the efficacy of present anti-islanding techniques, the potential of future ones, and the dynamics of island formation. 49 refs., 19 figs.

Abstract: The blackouts of summer 2003 underscored the dependence of western economies on reliable supply of electricity with tight tolerances of quality. While demand for electricity continues to grow, expansion of the traditional electricity supply system is constrained and is unlikely to keep pace with the growing thirst western economies have for electricity. Furthermore, no compelling case has been made that perpetual improvement in the overall power quality and reliability (PQR) delivered is possible or desirable. An alternative path to providing for sensitive loads is to provide for generation close to them. This would alleviate the pressure for endless improvement in grid PQR and might allow the establishment of a sounder economically based level of universal grid service. Providing for loads by means of local power generation is becoming increasingly competitive with central station generation for a number of reasons, four key ones being non-technical constraints on expansion of the grid, improvements in small scale technologies, opportunities for CHP application, and the ubiquitous nature of sensitive loads in advanced economies. Along with these new technologies, concepts for operating them partially under local control in microgrids are emerging, the CERTS Microgrid being one example. It has been demonstrated in simulation, and a laboratory test of a three microturbine system is planned for early 2005, to be followed by a field demonstration. A systemic energy analysis of a southern California naval base building demonstrates a current economic on-site power opportunity.

Abstract: Water withdrawal and consumption from rivers, lakes and oceans in the United States is greatest in the electricity sector. Until recently, most analysis in this area has focused on thermoelectric and hydroelectric plants. However, proposals to increase renewable electricity sources have generated interest in the water impacts of solar, wind, geothermal and other renewables. The data are put on a per unit energy output basis for comparability. Renewables can have water use, per unit energy, comparable to conventional systems like coal and nuclear, when the entire cycle, including possible backup, is considered. Of those systems using freshwater, hydro has the highest water withdrawal and consumption.

Abstract: This paper proposes a new, structural model for electricity prices. We show that unlike other electricity price models, such as the jump diffusion model and the Box-Cox transformation model, the structural model can directly and accurately incorporate the relationship between electricity demand and price spikes. We also illustrate the usefulness of the structural model for optimal power generation and risk management using the example of a pump-storage hydropower plant. The structural model can describe the probability of price spikes easily in terms of electricity demand, and provides more realistic optimal operation policies than the jump diffusion model.

Abstract: Public support schemes for electricity from renewable energy sources (RES-E) are undergoing a period of change. Two interrelated processes can be discerned at both the EU and member state (MS) levels. On the one hand, the RES-E Directive sets targets for consumption of renewable electricity for the year 2010 and opens the possibility that the European Commission sets a community support framework for RES-E promotion in the future. On the other hand, different types of support scheme have been and are used by countries in order to promote the deployment of renewable electricity. A move from tendering/bidding systems and feed-in tariffs to tradable green certificates can be observed in some MSs. This move may take place in the future in some other MSs while others will certainly continue to rely on their current scheme. This paper provides an overview and assessment of the instruments currently used to promote renewable electricity in Europe and considers some possible trends in the choice of support schemes in the future. Copyright © 2004 John Wiley & Sons, Ltd and ERP Environment.

Abstract: Publicly-funded energy efficiency programs have grown in number, size, and scope in the past two decades. The focus of many of these programs is the commercial buildings sector, which purchases approximately one-third of all the electricity produced in the United States. Using a fixed effects panel model, this study analyzes commercial sector electricity intensity across 42 states from 1989 to 2001; in aggregate, these states account for between 90 and 95 percent of U.S. commercial sector electricity sales. The analysis separates market effects from public program effects, finding that electric utility demand side management programs were responsible for reducing commercial sector electricity intensity in 2001 by 1.9 percent relative to the 1989 level. Further, rapidly expanding market transformation programs were responsible for reducing electricity intensity in this sector by 5.8 percent relative to the 1989 level. The findings suggest that in 2001 the combined effects of these public programs reduced commercial sector retail electricity sales by 77.1 million MWh, representing about 2.3 percent of total U.S. retail electricity sales.

Abstract: Article on the necessity of efficient electric transmission on electricity to make sustainable generation of energy possible. In this respect high voltage direct current has a important role.

Abstract: This chapter considers the modeling of electricity forward curve dynamics with parameterized volatility and correlation structures. We estimate the model parameters by using the Nordic market’s price data and show how the model can be implemented into everyday industry practice. Electricity markets are different from the usual financial markets and many other commodity markets due to the non-storability of electricity. The spot price of electricity is set by the shortterm supply‐demand equilibrium, and supply and demand must be in balance at each instance. Because the demand (supply) today does not necessarily have anything to do with the demand (supply) in the future, the spot electricity today is a different asset from the spot electricity in the future. This implies that the relation between the spot price and the forward prices in the electricity markets is not as straightforward as in the usual financial and commodity markets. In this chapter we develop a simple parameterized model for forward curve dynamics. We estimate the model parameters by using the data from the Nordic electricity market. The Nordic electricity market is hydro-dominated with roughly 50% of the electricity supply being hydrobased. The winters are cold and much of the precipitation comes as snow. In the spring the snow melts causing floods whose timing varies a lot from year to year due to the temperature. There is a significant electricity heating load while the mild summers do not require a lot of air conditioning, so that electricity demand is concentrated on the winter season. The timedependent variation present in the demand results in a seasonal, weekly and daily profile in the electricity spot price and electricity forward curve. However, these price variations are smoothed to some extent in the Nordic market because of the hydropower production. Some hydro producers have the possibility to optimize their discharge up to one year ahead, and many have the possibility for some months ahead. The short-term, i.e. intra-week and intraday, variations in the spot prices decrease due to the easily adjustable hydropower. On the other hand, there is high variation in the price level between different years because the total amount of