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UID:pretalx-cfp-Q8NU3K@nyc2023.pydata.org
DTSTART;TZID=America/New_York:20231102T143500
DTEND;TZID=America/New_York:20231102T151500
DESCRIPTION:Electricity is unique in that its storage is prohibitively cost
 ly\; this makes it essential for supply to\, at least\, meet demand at eve
 ry second of every day. In times of crisis where demand exceeds its projec
 ted amount\, system operators need to fall back on different methods to lo
 wer demand. One such method is Dynamic Pricing which incentivizes customer
 s to lower their consumption by increasing electricity prices during those
  times. There are trials that test out this pricing model against a flat r
 ate pricing model. This talk uses mathematics and statistical techniques a
 pplied in python to see the impact of dynamic pricing on consumption.
DTSTAMP:20250709T214327Z
LOCATION:Winter Garden (Room 5412)
SUMMARY:How to Use Python and Mathematical Modeling to Better Understand th
 e Impact of Electricity Pricing on Consumption - Saba Nejad
URL:https://nyc2023.pydata.org/cfp/talk/Q8NU3K/
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