When I worked for Applix (the owners of TM1 before IBM bought the product) we built a Power Purchase Agreement (PPE) application for a major UK based energy provider.
A PPE is a contract between different energy providers to trade energy to meet demand when the host has insufficient capacity to supply the demand, or the cost of starting up a tranche of a power station to meet demand is more expensive than buying it from another energy company.
An energy provider will have multiple PPE contracts with multiple providers so the calculation logic is unique to each one and are probably the most complicated TM1 models I've seen from a Rules perspective.
In the models we created, in addition to the 5 year daily time dimension there was also a half hour timeslot dimension to break down each day, these are known as Settlement Periods and demand would be split into these half hour timeslots too. There is also the ability to have 50 half hours in a day, 46 too as you have longer and shorter days for days when the clocks change for daylight saving time, of course these are on different dates each year.
Days are often flagged as Winter or Summer days using Attributes and Settlement Periods are often flagged with Day and Night attributes and in this model most formulas had 4 IF statement e.g. If Winter and Day THEN, else IF Winter and Night THEN, else if Summer....
As far as I'm aware, the model didn't forecast demand, but costed the cheapest way to meet it, either by supplying it themselves us buying it from another provider.
As Paul mentioned earlier, forecasting demand is complex and requires multiple inputs e.g. Weather, is there a football game on (everyone will switch their kettle on to make a drink at half time) and I'm sure they had other software that did this sort of work for them, maybe something like SPSS instead.
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Mark White
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Original Message:
Sent: Mon February 01, 2021 10:22 AM
From: Shruti Gharat
Subject: Implementation of demand forecasting solutions in Planning Analytics for utility sector
Hello All,
I have a requirement to Implement demand forecasting solutions in IBM Planning Analytics for the utility sector. I would be grateful if you could share any referenced document related to the same.
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Shruti Gharat
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