[PDF] Modelling Electricity Prices eBook

Author : Rafal Weron
Publisher : John Wiley & Sons
Page : 192 pages
File Size : 50,23 MB
Release : 2007-01-30
Category : Business & Economics
ISBN : 0470059990

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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.

Author : Derek W. Bunn
Publisher : John Wiley & Sons
Page : 368 pages
File Size : 48,57 MB
Release : 2004-04-02
Category : Business & Economics
ISBN :

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Electricity markets are structurally different to other commodities, and the real-time dynamic balancing of the electricity network involves many external factors. Because of this, it is not a simple matter to transfer conventional models of financial time series analysis to wholesale electricity prices. The rationale for this compilation of chapters from international authors is, therefore, to provide econometric analysis of wholesale power markets around the world, to give greater understanding of their particular characteristics, and to assess the applicability of various methods of price modelling. Researchers and professionals in this sector will find the book an invaluable guide to the most important state-of-the-art modelling techniques which are converging to define the special approaches necessary for unravelling and forecasting the behaviour of electricity prices. It is a high-quality synthesis of the work of financial engineering, industrial economics and power systems analysis, as they relate to the behaviour of competitive electricity markets.

Author : Javier Contreras
Publisher : MDPI
Page : 259 pages
File Size : 30,87 MB
Release : 2018-04-06
Category : Technology & Engineering
ISBN : 3038424153

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This book is a printed edition of the Special Issue "Forecasting Models of Electricity Prices" that was published in Energies

Author : Monica Greer
Publisher : Academic Press
Page : 360 pages
File Size : 14,57 MB
Release : 2010-09-22
Category : Business & Economics
ISBN : 0080961355

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A "quick look up guide," Electricity Cost Modeling Calculations places the relevant formulae and calculations at the reader's finger tips. In this book, theories are explained in a nutshell and then the calculation is presented and solved in an illustrated, step-by-step fashion. A valuable guide for new engineers, economists (or forecasters), regulators, and policy makers who want to further develop their knowledge of best practice calculations techniques or experienced practitioners (and even managers) who desire to acquire more useful tips, this book offers expert advice for using such cost models to determine optimally-sized distribution systems and optimally-structured power supplying entities. In other words, this book provides an Everything-that-you-want-to-know-about-cost-modelling-for-electric-utilities (but were afraid to ask) approach to modelling the cost of supplying electricity. In addition, the author covers the concept of multiproduct and multistage cost functions, which are appropriate in modelling the cost of supplying electricity. The author has done all the heavy number-crunching, and provides the reader with real-world, practical examples of how to properly quantify the costs associated with providing electric service, thus increasing the accuracy of the results and support for the policy initiatives required to ensure the competitiveness of the power suppliers in this new world in which we are living. The principles contained herein could be employed to assist in the determination of the cost-minimizing amount of output (i.e., electricity), which could then be used to determine whether a merger between two entities makes sense (i.e., would increase profitability). Other examples abound: public regulatory commissions also need help in determining whether mergers (or divestitures) are welfare-enhancing or not; ratemaking policies depend on costs and properly determining the costs of supplying electric (or gas, water, and local telephone) service. Policy makers, too, can benefit in terms of optimal market structure; after all, the premise of deregulation of the electric industry was predicated on the idea that generation could be deregulated. Unfortunately, the economies of vertical integration between the generation. A comprehensive guide to the cost issues surrounding the generation, transmission, and distribution of electricity Real-world examples that are practical, meaningful, and easy to understand Policy implications and suggestions to aid in the formation of the optimal market structure going forward (thus increasing efficiency of electric power suppliers) The principles contained herein could be employed to assist in the determination of the cost-minimizing amount of output

Author : Athanasios Dagoumas
Publisher : Academic Press
Page : 444 pages
File Size : 25,81 MB
Release : 2021-01-30
Category : Business & Economics
ISBN : 0128218398

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Mathematical Modelling of Contemporary Electricity Markets reviews major methodologies and tools to accurately analyze and forecast contemporary electricity markets in a ways that is ideal for practitioner and academic audiences. Approaches include optimization, neural networks, genetic algorithms, co-optimization, econometrics, E3 models and energy system models. The work examines how new challenges affect power market modeling, including discussions of stochastic renewables, price volatility, dynamic participation of demand, integration of storage and electric vehicles, interdependence with other commodity markets and the evolution of policy developments (market coupling processes, security of supply). Coverage addresses all major forms of electricity markets: day-ahead, forward, intraday, balancing, and capacity. Provides a diverse body of established techniques suitable for modeling any major aspect of electricity markets Familiarizes energy experts with the quantitative skills needed in competitive electricity markets Reviews market risk for energy investment decisions by stressing the multi-dimensionality of electricity markets

Author : Fred Espen Benth
Publisher : World Scientific
Page : 352 pages
File Size : 20,72 MB
Release : 2008
Category : Business & Economics
ISBN : 981281230X

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The markets for electricity, gas and temperature have distinctive features, which provide the focus for countless studies. For instance, electricity and gas prices may soar several magnitudes above their normal levels within a short time due to imbalances in supply and demand, yielding what is known as spikes in the spot prices. The markets are also largely influenced by seasons, since power demand for heating and cooling varies over the year. The incompleteness of the markets, due to nonstorability of electricity and temperature as well as limited storage capacity of gas, makes spot-forward hedging impossible. Moreover, futures contracts are typically settled over a time period rather than at a fixed date. All these aspects of the markets create new challenges when analyzing price dynamics of spot, futures and other derivatives.This book provides a concise and rigorous treatment on the stochastic modeling of energy markets. Ornstein?Uhlenbeck processes are described as the basic modeling tool for spot price dynamics, where innovations are driven by time-inhomogeneous jump processes. Temperature futures are studied based on a continuous higher-order autoregressive model for the temperature dynamics. The theory presented here pays special attention to the seasonality of volatility and the Samuelson effect. Empirical studies using data from electricity, temperature and gas markets are given to link theory to practice.

Author : Mohamed E. El-Hawary
Publisher : John Wiley & Sons
Page : 324 pages
File Size : 41,66 MB
Release : 2017-07-12
Category : Technology & Engineering
ISBN : 1118171349

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A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world’s foremost names in the field who address a range of critical issues, from forecasting power system load to power system pricing to post-storm service restoration times, river flow forecasting, and more. In a time of ever-increasing energy demands, mounting concerns over the environmental impacts of power generation, and the emergence of new, smart-grid technologies, electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every maximization strategy. This book fills a gap in the literature on this increasingly important topic. Following an introductory chapter offering background information necessary for a full understanding of the forecasting issues covered, this book: Introduces advanced methods of time series forecasting, as well as neural networks Provides in-depth coverage of state-of-the-art power system load forecasting and electricity price forecasting Addresses river flow forecasting based on autonomous neural network models Deals with price forecasting in a competitive market Includes estimation of post-storm restoration times for electric power distribution systems Features contributions from world-renowned experts sharing their insights and expertise in a series of self-contained chapters Advances in Electric Power and Energy Systems is a valuable resource for practicing engineers, regulators, planners, and consultants working in or concerned with the electric power industry. It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.

Author : Steven A. Gabriel
Publisher : Springer Science & Business Media
Page : 637 pages
File Size : 13,27 MB
Release : 2012-07-20
Category : Business & Economics
ISBN : 1441961232

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This addition to the ISOR series introduces complementarity models in a straightforward and approachable manner and uses them to carry out an in-depth analysis of energy markets, including formulation issues and solution techniques. In a nutshell, complementarity models generalize: a. optimization problems via their Karush-Kuhn-Tucker conditions b. on-cooperative games in which each player may be solving a separate but related optimization problem with potentially overall system constraints (e.g., market-clearing conditions) c. conomic and engineering problems that aren’t specifically derived from optimization problems (e.g., spatial price equilibria) d. roblems in which both primal and dual variables (prices) appear in the original formulation (e.g., The National Energy Modeling System (NEMS) or its precursor, PIES). As such, complementarity models are a very general and flexible modeling format. A natural question is why concentrate on energy markets for this complementarity approach? s it turns out, energy or other markets that have game theoretic aspects are best modeled by complementarity problems. The reason is that the traditional perfect competition approach no longer applies due to deregulation and restructuring of these markets and thus the corresponding optimization problems may no longer hold. Also, in some instances it is important in the original model formulation to involve both primal variables (e.g., production) as well as dual variables (e.g., market prices) for public and private sector energy planning. Traditional optimization problems can not directly handle this mixing of primal and dual variables but complementarity models can and this makes them all that more effective for decision-makers.

Author : Alvaro Escribano
Publisher :
Page : 0 pages
File Size : 22,97 MB
Release : 2011
Category :
ISBN :

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This article analyses the evolution of electricity prices in deregulated markets. We present a general class of models that simultaneously takes into account several factors: seasonality, mean reversion, GARCH behaviour and time-dependent jumps. The models are applied to daily equilibrium spot prices of eight electricity markets. Eight different nested models were estimated to compare the relative importance of each factor in each of the eight markets. We find strong evidence that electricity equilibrium prices are mean-reverting, with volatility clustering (GARCH) and with jumps of time-dependent intensity, even after adjusting for seasonality.

Author : Rafal Weron
Publisher :
Page : pages
File Size : 15,76 MB
Release : 2008
Category :
ISBN :

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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.