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Modeling and forecasting electricity...

Berk, Kevin.

Modeling and forecasting electricity demanda risk management perspective /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Modeling and forecasting electricity demandby Kevin Berk.
Reminder of title:	a risk management perspective /
Author:	Berk, Kevin.
Published:	Wiesbaden :Springer Fachmedien Wiesbaden :2015.
Description:	xvi, 115 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Electric power consumptionMathematical models.
Online resource:	http://dx.doi.org/10.1007/978-3-658-08669-5
ISBN:	9783658086695 (electronic bk.)

Modeling and forecasting electricity demanda risk management perspective /
Berk, Kevin.

Modeling and forecasting electricity demanda risk management perspective /[electronic resource] :by Kevin Berk. - Wiesbaden :Springer Fachmedien Wiesbaden :2015. - xvi, 115 p. :ill., digital ;24 cm. - BestMasters. - BestMasters..

Electricity Market -- Energy Economy in Enterprises -- Time Series Analysis -- A one Factor Model for medium-term Load Forecasting -- Retail Contract Evaluation and Pricing -- MATLAB Implementation.

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. Contents Electricity Market Energy Economy in Enterprises Time Series Analysis A one Factor Model for medium-term Load Forecasting Retail Contract Evaluation and Pricing MATLAB Implementation Target Groups Researchers and students in energy economics or mathematics and statistics with a focus on applications in energy markets Professionals in electricity utilities, energy vendors, risk management The Author 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.

ISBN: 9783658086695 (electronic bk.)

Standard No.: 10.1007/978-3-658-08669-5doiSubjects--Topical Terms:

713275
Electric power consumption
--Mathematical models.

LC Class. No.: HD9685.A2

Dewey Class. No.: 333.79015118

Modeling and forecasting electricity demanda risk management perspective /
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245 1 0 $a Modeling and forecasting electricity demand $h [electronic resource] : $b a risk management perspective / $c by Kevin Berk.
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520 $a 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. Contents Electricity Market Energy Economy in Enterprises Time Series Analysis A one Factor Model for medium-term Load Forecasting Retail Contract Evaluation and Pricing MATLAB Implementation Target Groups Researchers and students in energy economics or mathematics and statistics with a focus on applications in energy markets Professionals in electricity utilities, energy vendors, risk management The Author 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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