Author: Kevin Berk
Publisher: Springer Spektrum
Published: 2015-01-30
Total Pages: 0
ISBN-13: 9783658086688
DOWNLOAD EBOOK →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.
Author: Wallace L. Barron
Publisher: Pennwell Books
Published: 1996
Total Pages: 0
ISBN-13: 9780878146284
DOWNLOAD EBOOK →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.
Author: Electric Utility Planning Council. Forecast Committee
Publisher:
Published:
Total Pages:
ISBN-13:
DOWNLOAD EBOOK →Author: Bridger M. Mitchell
Publisher:
Published: 1986
Total Pages: 24
ISBN-13: 9780833007148
DOWNLOAD EBOOK →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: H. Lee Willis
Publisher: CRC Press
Published: 2002-08-09
Total Pages: 770
ISBN-13: 9780203910764
DOWNLOAD EBOOK →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: Stanford University. Energy Modeling Forum
Publisher:
Published: 1980
Total Pages: 444
ISBN-13:
DOWNLOAD EBOOK →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.