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Book Demand Forecasting for Electric Utilities

Download or read book Demand Forecasting for Electric Utilities written by Clark W. Gellings and published by . This book was released on 1992 with total page 552 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Demand Forecasting in the Electric Utility Industry

Download or read book Demand Forecasting in the Electric Utility Industry written by Wallace L. Barron and published by Pennwell Books. This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This work describes the most effective and accurate methods for forecasting of energy services appropriate for the parameters which can be expected to prevail in the 1990s and beyond. It was written specifically to meet the needs of utility managers, analysts and planners.

Book Modeling and Forecasting Electricity Demand

Download or read book Modeling and Forecasting Electricity Demand written by Kevin Berk and published by Springer Spektrum. This book was released on 2015-01-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Forecasting Demand for Electric Energy

Download or read book Forecasting Demand for Electric Energy written by Lyna L. Wiggins and published by . This book was released on 1981 with total page 608 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Energy and Demand Forecast

Download or read book Energy and Demand Forecast written by Electric Utility Planning Council. Forecast Committee and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Forecasting U S  Electricity Demand

Download or read book Forecasting U S Electricity Demand written by Adela Maria Bolet and published by Routledge. This book was released on 2019-08-30 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although the energy headlines of 1985 proclaim the waning of OPEC, the collapse of oil prices, and the demise of the nuclear power industry, few policy analysts are examining the dynamic challenges and opportunities that may confront the electric power industry during the remainder of this century. In this pioneering work, Adela Maria Bolet attempts to do exactly this, namely, to reconcile the differences among forecasters as to the future of electricity demand in the industrial, commercial, and residential sectors.

Book Demand Forecasting in the Electric Utility Industry

Download or read book Demand Forecasting in the Electric Utility Industry written by Clark D. Kaml and published by . This book was released on 1988 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Spatial Electric Load Forecasting

Download or read book Spatial Electric Load Forecasting written by H. Lee Willis and published by CRC Press. This book was released on 2002-08-09 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Electric Load Forecasting

Download or read book Electric Load Forecasting written by Stanford University. Energy Modeling Forum and published by . This book was released on 1980 with total page 444 pages. Available in PDF, EPUB and Kindle. Book excerpt: Changes in energy markets over the last decade have made capacity planning by electric utilities increasingly difficult, but also increasingly important to producers and users of energy. In particular, long-range forecasts f the use of electricity have received greater scrutiny, forecasting prolems and methods have become more complex, and results have been subject to greater uncertainty and challenge than before. EPRI, in the Energy Modeling Forum, brought together a working group from utilities, research institutes, government agencies, universities and consulting firms to identify the issues that could have significant impacts on future electricity consumption.

Book A Short Guide to Electric Utility Load Forecasting

Download or read book A Short Guide to Electric Utility Load Forecasting written by Bridger M. Mitchell and published by . This book was released on 1986 with total page 24 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Modeling and Forecasting Electricity Demand

Download or read book Modeling and Forecasting Electricity Demand written by Kevin Berk and published by Springer. This book was released on 2015-01-20 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Applied Mathematics for Restructured Electric Power Systems

Download or read book Applied Mathematics for Restructured Electric Power Systems written by Joe H. Chow and published by Springer Science & Business Media. This book was released on 2006-06-03 with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book A Methodology for California Electric Energy Forecasting

Download or read book A Methodology for California Electric Energy Forecasting written by Economic Sciences Corporation and published by . This book was released on 1975 with total page 538 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Forecasting and Assessing Risk of Individual Electricity Peaks

Download or read book Forecasting and Assessing Risk of Individual Electricity Peaks written by Maria Jacob and published by Springer Nature. This book was released on 2019-09-25 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overarching aim of this open access book is to present self-contained theory and algorithms for investigation and prediction of electric demand peaks. A cross-section of popular demand forecasting algorithms from statistics, machine learning and mathematics is presented, followed by extreme value theory techniques with examples. In order to achieve carbon targets, good forecasts of peaks are essential. For instance, shifting demand or charging battery depends on correct demand predictions in time. Majority of forecasting algorithms historically were focused on average load prediction. In order to model the peaks, methods from extreme value theory are applied. This allows us to study extremes without making any assumption on the central parts of demand distribution and to predict beyond the range of available data. While applied on individual loads, the techniques described in this book can be extended naturally to substations, or to commercial settings. Extreme value theory techniques presented can be also used across other disciplines, for example for predicting heavy rainfalls, wind speed, solar radiation and extreme weather events. The book is intended for students, academics, engineers and professionals that are interested in short term load prediction, energy data analytics, battery control, demand side response and data science in general.