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Modeling and Forecasting Electricity Demand
Kevin Berk
€ 75.88
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Description for Modeling and Forecasting Electricity Demand
Paperback. Series: BestMasters. Num Pages: 131 pages, 39 black & white illustrations, 21 black & white tables, biography. BIC Classification: PBT; TH. Category: (G) General (US: Trade). Dimension: 210 x 148 x 8. Weight in Grams: 183.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2015
Publisher
Springer Fachmedien Wiesbaden Germany
Number of pages
131
Condition
New
Series
BestMasters
Number of Pages
115
Place of Publication
Weisbaden, Germany
ISBN
9783658086688
SKU
V9783658086688
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Kevin Berk
Kevin Berk is a Ph.D. student at the Mathematics Department of the University Siegen, Germany. His major research focus is risk management and time series models with applications in energy markets.
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