In which I introduce "The Forecasting Paradox"
https://on.ft.com/3BGgLMM (1st 300 clicks free to read - enjoy!)
https://on.ft.com/3BGgLMM (1st 300 clicks free to read - enjoy!)
Comments
Ofgem insist that the appropriate measure for usefulness is accuracy.
However, consider a forecast for a cold winter's day. I forecast very high demand, so small expensive generators are run because ...
Had I accounted for this, the demand would have been lower, and that extra small generation would not have run. And my forcast is too low.
In my opinion then the best forecast is the one which leads to the best outcomes, and that's when I forecast the demand that would occur if no small generation runs.
The forecasts were made on the basis that people didn't alter their behaviour, and the forecast outcomes were horrific.
My one foray into the epidemiological literature ended up in our paper being rejected precisely because the reviewers (and the editor) did not understand the distinction between a scenario and a forecast!
Sadly scenario planning tends to be a victim of its own success as “nothing happened” 🤷