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Author: United States Accounting Office (GAO)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781719263597
Category :
Languages : en
Pages : 52
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Book Description
Analysis of Electric Utility Load Forecasting
Author: United States Accounting Office (GAO)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781719263597
Category :
Languages : en
Pages : 52
Get Book Here
Book Description
Analysis of Electric Utility Load Forecasting
Author: S.A. Soliman
Publisher: Elsevier
ISBN: 0123815444
Category : Business & Economics
Languages : en
Pages : 441
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Book Description
Succinct and understandable, this book is a step-by-step guide to the mathematics and construction of electrical load forecasting models. Written by one of the world’s foremost experts on the subject, Electrical Load Forecasting provides a brief discussion of algorithms, their advantages and disadvantages and when they are best utilized. The book begins with a good description of the basic theory and models needed to truly understand how the models are prepared so that they are not just blindly plugging and chugging numbers. This is followed by a clear and rigorous exposition of the statistical techniques and algorithms such as regression, neural networks, fuzzy logic, and expert systems. The book is also supported by an online computer program that allows readers to construct, validate, and run short and long term models. Step-by-step guide to model construction Construct, verify, and run short and long term models Accurately evaluate load shape and pricing Creat regional specific electrical load models
Author: United States. General Accounting Office
Publisher:
ISBN:
Category : Electric power-plants
Languages : en
Pages : 36
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Book Description
Author: Joe H. Chow
Publisher: Springer Science & Business Media
ISBN: 0387234713
Category : Technology & Engineering
Languages : en
Pages : 345
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Book Description
Applied Mathematics for Restructured Electric Power Systems: Optimization, Control, and Computational Intelligence consists of chapters based on work presented at a National Science Foundation workshop organized in November 2003. The theme of the workshop was the use of applied mathematics to solve challenging power system problems. The areas included control, optimization, and computational intelligence. In addition to the introductory chapter, this book includes 12 chapters written by renowned experts in their respected fields. Each chapter follows a three-part format: (1) a description of an important power system problem or problems, (2) the current practice and/or particular research approaches, and (3) future research directions. Collectively, the technical areas discussed are voltage and oscillatory stability, power system security margins, hierarchical and decentralized control, stability monitoring, embedded optimization, neural network control with adaptive critic architecture, control tuning using genetic algorithms, and load forecasting and component prediction. This volume is intended for power systems researchers and professionals charged with solving electric and power system problems.
Author: Rafal Weron
Publisher: John Wiley & Sons
ISBN: 0470059990
Category : Business & Economics
Languages : en
Pages : 192
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Book Description
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: Reza Sedaghati
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659594380
Category :
Languages : en
Pages : 112
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Book Description
The major concern for every electrical utility is the ability to provide reliable and uninterrupted service to their customers. Load forecasting is an important component for power system energy management system. Precise load forecasting helps the electric utility to make unit commitment decisions, reduce spinning reserve capacity and schedule device maintenance plan properly. Besides playing a key role in reducing the generation cost, it is also essential to the reliability of power systems. There are three types of load forecasts: short-term, medium-term and long-term. This book focuses on study of short term load forecasting. Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. In this book study of a real sample (Shiraz power distribution network) for forecasting load growth is done, also evaluated various compensation methods from perspectives of long-term load forecasting.
Author: H. Lee Willis
Publisher: CRC Press
ISBN: 0203910761
Category : Technology & Engineering
Languages : en
Pages : 767
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Book Description
Containing 12 new chapters, this second edition offers increased coverage of weather correction and normalization of forecasts, anticipation of redevelopment, determining the validity of announced developments, and minimizing risk from over- or under-planning. It provides specific examples and detailed explanations of key points to consider for both standard and unusual utility forecasting situations, information on new algorithms and concepts in forecasting, a review of forecasting pitfalls and mistakes, case studies depicting challenging forecast environments, and load models illustrating various types of demand.
Author: Bridger M. Mitchell
Publisher:
ISBN: 9780833007148
Category : Business & Economics
Languages : en
Pages : 24
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Book Description
Electric utilities, governmental energy agencies, and some private economic forecasting services make long-term forecasts of electricity and peak demand. This report briefly reviews the methods currently used to make such load forecasts, describes sources of variation between forecasts, and discusses the problems that confront electricity forecasters.
Author: Antonio Gabaldón
Publisher: MDPI
ISBN: 303943442X
Category : Technology & Engineering
Languages : en
Pages : 324
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Book Description
Short-term load forecasting (STLF) plays a key role in the formulation of economic, reliable, and secure operating strategies (planning, scheduling, maintenance, and control processes, among others) for a power system and will be significant in the future. However, there is still much to do in these research areas. The deployment of enabling technologies (e.g., smart meters) has made high-granularity data available for many customer segments and to approach many issues, for instance, to make forecasting tasks feasible at several demand aggregation levels. The first challenge is the improvement of STLF models and their performance at new aggregation levels. Moreover, the mix of renewables in the power system, and the necessity to include more flexibility through demand response initiatives have introduced greater uncertainties, which means new challenges for STLF in a more dynamic power system in the 2030–50 horizon. Many techniques have been proposed and applied for STLF, including traditional statistical models and AI techniques. Besides, distribution planning needs, as well as grid modernization, have initiated the development of hierarchical load forecasting. Analogously, the need to face new sources of uncertainty in the power system is giving more importance to probabilistic load forecasting. This Special Issue deals with both fundamental research and practical application research on STLF methodologies to face the challenges of a more distributed and customer-centered power system.
Author: Kevin Berk
Publisher: Springer
ISBN: 3658086696
Category : Business & Economics
Languages : en
Pages : 123
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Book Description
The master thesis of Kevin Berk develops a stochastic model for the electricity demand of small and medium-sized companies that is flexible enough so that it can be used for various business sectors. The model incorporates the grid load as an exogenous factor and seasonalities on a daily, weekly and yearly basis. It is demonstrated how the model can be used e.g. for estimating the risk of retail contracts. The uncertainty of electricity demand is an important risk factor for customers as well as for utilities and retailers. As a consequence, forecasting electricity load and its risk is now an integral component of the risk management for all market participants.
