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Extreme Temperatures Make For Electricity Revenues

By tao on Dec 06, 2006
Viewed 50056 times

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Time Scale	Data Aggregation
Yearly Quarterly Monthly Weekly Daily	Average High Low Total Count Distinct None

Date	Residential Revenue (Thousand $)	Date	Temperature (F)

Jan 2002	9,515,863	Jan 1, 2002	44.667741935484
Dec 2004	9,857,796	Dec 1, 2004	45.722580645161
Jan 2005	10,602,724	Jan 1, 2005	46.98064516129
Jan 2004	10,475,162	Jan 1, 2004	46.990322580645
Jan 2006	11,553,543	Jan 1, 2006	48.009677419355
Dec 2002	8,829,832	Dec 1, 2002	49.116129032258
Dec 2003	9,446,485	Dec 1, 2003	49.377419354839
Mar 2006	10,378,623	Mar 1, 2006	49.838709677419
Feb 2004	9,407,153	Feb 1, 2004	50.303448275862
Jan 2003	9,946,613	Jan 1, 2003	50.393333333333
Dec 2005	11,158,434	Dec 1, 2005	50.577419354839
Feb 2003	8,909,254	Feb 1, 2003	50.978571428571
Nov 2004	8,056,488	Nov 1, 2004	51.29
Feb 2002	7,962,081	Feb 1, 2002	51.496428571429
Feb 2006	10,277,724	Feb 1, 2006	51.714285714286
Nov 2003	7,604,679	Nov 1, 2003	51.746666666667
Feb 2005	9,376,084	Feb 1, 2005	53.667857142857
Mar 2002	7,826,766	Mar 1, 2002	54.825806451613
Nov 2002	7,405,276	Nov 1, 2002	55.113333333333
Nov 2005	8,965,455	Nov 1, 2005	56.69
Mar 2005	8,955,036	Mar 1, 2005	57.254838709677
Apr 2003	7,373,902	Apr 1, 2003	58.173333333333
Mar 2003	8,273,997	Mar 1, 2003	58.193333333333
Apr 2006	9,237,144	Apr 1, 2006	58.84
Apr 2005	8,025,864	Apr 1, 2005	59.476666666667
Mar 2004	8,556,393	Mar 1, 2004	62.083870967742
Apr 2002	7,207,668	Apr 1, 2002	62.803333333333
Oct 2004	8,538,620	Oct 1, 2004	63.938709677419
Oct 2002	8,014,317	Oct 1, 2002	65.183870967742
Oct 2005	10,068,396	Oct 1, 2005	65.609677419355
Apr 2004	7,642,674	Apr 1, 2004	65.716666666667
Oct 2003	7,969,985	Oct 1, 2003	69.354838709677
May 2005	8,379,984	May 1, 2005	69.41935483871
May 2002	7,555,053	May 1, 2002	69.429032258064
May 2003	7,900,785	May 1, 2003	69.774193548387
May 2004	8,283,621	May 1, 2004	71.041935483871
May 2006	9,999,430	May 1, 2006	71.816129032258
Sep 2005	12,506,214	Sep 1, 2005	73.39
Jun 2005	11,435,971	Jun 1, 2005	73.613333333333
Sep 2004	10,567,985	Sep 1, 2004	76.086666666667
Jun 2006		Jun 1, 2006	77.008333333333
Sep 2002	9,939,875	Sep 1, 2002	77.203333333333
Jun 2004	10,465,428	Jun 1, 2004	77.75
Jun 2002	9,395,503	Jun 1, 2002	78.334615384615
Jun 2003	9,236,552	Jun 1, 2003	78.573333333333
Sep 2003	10,047,249	Sep 1, 2003	78.926666666667
Aug 2002	11,715,540	Aug 1, 2002	79.961290322581
Aug 2003	12,232,906	Aug 1, 2003	81.01935483871
Aug 2004	12,031,499	Aug 1, 2004	81.196774193548
Aug 2005	14,598,791	Aug 1, 2005	83.664516129032
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Sources: None provided

The frequency of the Electricity Revenue Wave is exactly double that of the Temperature Wave. When its hot, electrical revenue go up. When its cold, electrical revenue go up. Interestingly the lowest revenue point is close to colder temperature than hot. —tao

Comments (6)

derwisch says

Electricity cost is only second choice to electricity consumption. No data available on that?

posted over 2 years ago

tao

tao says

there is electricity cost data, but it actually just follows temperature exactly.

posted over 2 years ago

Dmitry

Dmitry says

derwisch,

If you click into the data set above (US Electricity Costs), you'll see stats on electricity sales (and therefore consumption).

posted over 2 years ago

Anonymous says

Air conditioners run on electricity, but many people heat their houses with gas, which costs much less. Would be interesting to add natural gas to the chart.

posted over 2 years ago

Anonymous says

The chart title mentions profits, but the data does not show profits, it simply shows electricity use. If everyone used the power company's "bill leveling" service, company profits would actually be higher in the off months when people are overpaying, than in the summer and winter months when they are underpaying relative to their monthly use.

posted over 2 years ago

tao

tao says

title of graph changed for above point.

posted over 2 years ago