大葉大學圖書館 |

Modeling and forecasting electricity demand[electronic resource] :a risk management perspective /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	333.79015118
書名/作者:	Modeling and forecasting electricity demand : a risk management perspective // by Kevin Berk.
作者:	Berk, Kevin.
出版者:	Wiesbaden : : Springer Fachmedien Wiesbaden :, 2015.
面頁冊數:	xvi, 115 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Electric power consumption - Mathematical models.
標題:	Electric power consumption - Forecasting.
標題:	Risk management.
標題:	Energy.
標題:	Energy Policy, Economics and Management.
標題:	Probability Theory and Stochastic Processes.
標題:	Energy Efficiency (incl. Buildings).
ISBN:	9783658086695 (electronic bk.)
ISBN:	9783658086688 (paper)
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-658-08669-5

Modeling and forecasting electricity demand[electronic resource] :a 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:

605841
Electric power consumption
--Mathematical models.

LC Class. No.: HD9685.A2

Dewey Class. No.: 333.79015118

Modeling and forecasting electricity demand[electronic resource] :a risk management perspective /
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