Demand Forecasting for Electric Utilities

Demand Forecasting for Electric Utilities
Author: Clark W. Gellings
Publsiher: Prentice Hall
Total Pages: 552
Release: 1992
Genre: Business & Economics
ISBN: NWU:35556021542790

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A text on forecasting for the electric utility industry, which covers data acquisition and database construction, forecasting to innovative rates, load shape forecasting, software systems available and forecasting the impact of management strategies.

Demand Forecasting in the Electric Utility Industry

Demand Forecasting in the Electric Utility Industry
Author: Wallace L. Barron
Publsiher: Pennwell Books
Total Pages: 0
Release: 1996
Genre: Electric power consumption
ISBN: 0878146288

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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.

Modeling and Forecasting Electricity Demand

Modeling and Forecasting Electricity Demand
Author: Kevin Berk
Publsiher: Springer Spektrum
Total Pages: 0
Release: 2015-01-30
Genre: Business & Economics
ISBN: 3658086688

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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.

Forecasting U S Electricity Demand

Forecasting U S  Electricity Demand
Author: Adela Maria Bolet
Publsiher: Routledge
Total Pages: 274
Release: 2019-08-30
Genre: Political Science
ISBN: 9780429691454

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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.

Comparative Models for Electrical Load Forecasting

Comparative Models for Electrical Load Forecasting
Author: Derek W. Bunn,E. D. Farmer
Publsiher: Unknown
Total Pages: 256
Release: 1985
Genre: Business & Economics
ISBN: UOM:39015009784862

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Takes a practical look at how short-term forecasting has actually been undertaken and is being developed in public utility organizations.

A Synopsis of the Energy Demand Forecasting Peer Review Workshop

A Synopsis of the Energy Demand Forecasting Peer Review Workshop
Author: Michael R. Jaske
Publsiher: Unknown
Total Pages: 16
Release: 1980
Genre: Electric power consumption
ISBN: STANFORD:36105130385052

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Demand side Management Planning

Demand side Management Planning
Author: Clark W. Gellings,John H. Chamberlin
Publsiher: Unknown
Total Pages: 472
Release: 1993
Genre: Business & Economics
ISBN: IND:30000039176551

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Here is a complete guide to the planning and implementation of effective demand-side management programs. This excellent reference provides expert guidance for every component of the DSM program, including load management programs, forecasting, pricing, and promotion of efficient end-use technologies. For the power user, it will provide new insight into utility incentive and rebate programs, and how to best take advantage of cost-saving benefits.

Modeling and Forecasting Electricity Demand

Modeling and Forecasting Electricity Demand
Author: Kevin Berk
Publsiher: Springer
Total Pages: 123
Release: 2015-01-20
Genre: Business & Economics
ISBN: 9783658086695

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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.