Demand Forecasting For Electric Utilities
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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](https://youbookinc.com/wp-content/uploads/2024/06/cover.jpg)
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
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
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
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
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
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
Author | : Kevin Berk |
Publsiher | : Springer |
Total Pages | : 123 |
Release | : 2015-01-20 |
Genre | : Business & Economics |
ISBN | : 9783658086695 |
Download Modeling and Forecasting Electricity Demand Book in PDF, Epub and Kindle
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.