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.
| ISBN: | 9783658086688 |
| Publication date: | 30th January 2015 |
| Author: | Kevin Berk |
| Publisher: | Springer Spektrum an imprint of Springer Fachmedien Wiesbaden |
| Format: | Paperback |
| Pagination: | 115 pages |
| Series: | BestMasters |
| Genres: |
The environment Stochastics Probability and statistics |
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.
Modeling and Forecasting Electricity Demand features in the following genres: The environment, Stochastics, Probability and statistics
Paperback. Not Available.
Modeling and Forecasting Electricity Demand was written by Kevin Berk and published by Springer Spektrum an imprint of Springer Fachmedien Wiesbaden
Modeling and Forecasting Electricity Demand has 115 pages
Yes it is part of BestMasters series