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We have been notified by some of our clients of several potential shortcomings of the forecasting algorithm. These warrant further investigation.
1. After some changes with batteries in a 2050 II3050 scenario, the sum of elements in the chart "total costs" was not equal to the total presented in the table (not able to reproduce yet)
2. When the installed capacity of batteries in a 2050 II3050 scenario is reduced, the full load hours decrease in some cases
3. Local forecasting with large amounts of solar PV in households and demand in households, despite large installed capacity of household batteries, the batteries only charge with a limited capacity
4. Forecasting has unexpected consequences for price-setting behaviour in this scenario: on January 1st curtailment is active but prices jump from 0 tot ~5 euros/MWh
The text was updated successfully, but these errors were encountered:
The error seems to be caused by a rounding error in the Energy carriers import/export group. For 2 GW li-ion batteries the decimals reappear and the sum total is equal to the total row.
We have been notified by some of our clients of several potential shortcomings of the forecasting algorithm. These warrant further investigation.
The text was updated successfully, but these errors were encountered: