| Judul | Modeling and Forecasting Electricity Demand / Kevin Berk |
| Pengarang | Berk, Kevin |
| EDISI | 1st ed |
| Penerbitan | Abraham-Lincoln-Straße 46 65189, Wiesbaden, Germany : Springer Fachmedien Wiesbaden, 2015 |
| Deskripsi Fisik | 115 :39 illus |
| ISBN | 978-3-658-08669-5 |
| Subjek | ENERGY POLICY, ECONOMICS AND MANAGEMENT PROBABILITY THEORY AND STOCHASTIC PROCESSES ENERGY EFFICIENCY (INCL. BUILDINGS) |
| Abstrak | 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. |
| Bentuk Karya | Tidak ada kode yang sesuai |
| Target Pembaca | Tidak ada kode yang sesuai |
| Lokasi Akses Online |
http://link.springer.com/openurl?genre=book&isbn=978-3-658-08668-8 |
| No Barcode | No. Panggil | Akses | Lokasi | Ketersediaan |
|---|---|---|---|---|
| 193615292 | 338.926 Ber m | Baca Online | Perpustakaan Pusat - Online Resources Ebook |
Tersedia |
| Tag | Ind1 | Ind2 | Isi |
| 001 | INLIS000000000159380 | ||
| 005 | 20250318101449 | ||
| 007 | ta | ||
| 008 | 250318################|##########|#|## | ||
| 020 | # | # | $a 978-3-658-08669-5 |
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| 082 | # | # | $a 338.926 |
| 084 | # | # | $a 338.926 Ber m |
| 100 | 0 | # | $a Berk, Kevin |
| 245 | 1 | # | $a Modeling and Forecasting Electricity Demand /$c Kevin Berk |
| 250 | # | # | $a 1st ed |
| 260 | # | # | $a Abraham-Lincoln-Straße 46 65189, Wiesbaden, Germany :$b Springer Fachmedien Wiesbaden,$c 2015 |
| 300 | # | # | $a 115 : $b 39 illus |
| 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. |
| 650 | # | # | $a ENERGY EFFICIENCY (INCL. BUILDINGS) |
| 650 | # | # | $a ENERGY POLICY, ECONOMICS AND MANAGEMENT |
| 650 | # | # | $a PROBABILITY THEORY AND STOCHASTIC PROCESSES |
| 856 | # | # | $a http://link.springer.com/openurl?genre=book&isbn=978-3-658-08668-8 |
| 990 | # | # | $a 193615292 |
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