Modeling and Forecasting Electricity Demand: A Risk Management Perspective

Berk, Kevin

dc.contributor.advisor	Prof. Dr. Alfred Müller
dc.contributor.author	Berk, Kevin
dc.date.accessioned	2019-01-01T13:04:43Z
dc.date.accessioned	2020-05-06T19:51:36Z
dc.date.accessioned	2020-05-10T17:52:09Z
dc.date.accessioned	2023-07-21T15:06:48Z
dc.date.available	2019-01-01T13:04:43Z
dc.date.available	2020-05-06T19:51:36Z
dc.date.available	2020-05-10T17:52:09Z
dc.date.available	2023-07-21T15:06:48Z
dc.date.issued	2015
dc.identifier.isbn	978-3-658-08669-5
dc.identifier.uri	http://10.215.13.25/handle/123456789/33186
dc.description	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. This is a completely new field of research where there does not yet exist much scientific literature, partially due to the difficulty to get access to data.	en_US
dc.language.iso	en	en_US
dc.publisher	Springer	en_US
dc.subject	A Risk Management Perspective	en_US
dc.title	Modeling and Forecasting Electricity Demand: A Risk Management Perspective	en_US
dc.type	Masters Thesis	en_US