Last edited on 27th April, 2004 by gs/ gs . - Host home page: http://www.statlab.uni-heidelberg.de

Data set

power.data

Short description

For large scale energy consumers, like a university, the price of electrical energy may be negotiated. The rate depends on the peak power level, with higher rates for higher power levels.

The game runs as follows: the consumer specifies a peak power level for the consumption period to come. This determines the rate to be applied for that period. If during the period the power demand does not exceed this level, the power usage is charged at the agreed rate. If the power demand ever exceeds, a penalty is charged in addition.

To make the game more complicated, the specifies peak power may be increased from period to period, but in general it cannot be reduced without major re-negotiation.

The challenge is to give a useful prediction of the peak power level. Peak power level over time for the Heidelberg science campus, abbreviated INF, are given below.

peak power rate, location INF

Electrical energy used for climatization may be major part of the consumption. Available climatic data are temperatures and humidity indices.

temperature by time

One of the most revealing plots is power demand over temperature. We include a lowess smoother, and brush by time

power by temperature

An example of the kind of residuals which can be achieved is shown here.

residuals

Variables

Yr
Year
Mon
Month Jan..Dec
INF
Monthly peak power demand at site INF (arbitrary units). For reference and model checking, monthly peak power demand for other sites (AltKlinikum, Akad4-8, Akad5, Graben1-3, Graben14, Haupt207, Marstall, Phil12, Tier15) is included. We had to apply some scale factors for publication since the actual absolute numbers are confidential.
SemDays
Nr of "school days".
MonMeanTemp
monthly mean temperature [C]
MaxDailyMeanTemp
monthly maximum of daily mean temperature [C]
MinDailyMeanTemp
monthly minimum of daily mean temperature [C]
MaxTemp
monthly maximum temperature [C]
MaxHumid
monthly maximum of mean humidity at highest absolute temperature [%]
MeanHotHumidity
mean humidity at hottest day
MinTemp
monthly minimum temperature [C]
MinNoonTemp
monthly minimum temperature [C] at noon time
NoonColdHumidity
humidity at noon on coldest day [%]

Original location

http://statlab.uni-heidelberg.de/data/power/

Access:

<ftp:power.data>.

Contact:

G. Sawitzki, StatLab Heidelberg.