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Record Nr. |
UNINA9910304142003321 |
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Autore |
Berk Kevin |
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Titolo |
Modeling and Forecasting Electricity Demand : A Risk Management Perspective / / by Kevin Berk |
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Pubbl/distr/stampa |
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Wiesbaden : , : Springer Fachmedien Wiesbaden : , : Imprint : Springer Spektrum, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (123 p.) |
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Collana |
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Disciplina |
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333.79 |
338926 |
519.2 |
621.042 |
658.26 |
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Soggetti |
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Energy policy |
Probabilities |
Energy consumption |
Energy Policy, Economics and Management |
Probability Theory and Stochastic Processes |
Energy Efficiency |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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 |
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