A producer of chemicals. We have a timeseries for this year, resolution is 1h, the data is available for 6 reactors, so in total 37728 samples. Each sample has a number of values, e.g. for reactor 2:
2|CB 2|Erdgas 2|Konst.Stufe 2|Perlwasser 2|Regelstufe 2|Sorte 2|V-Luft 2|VL Temp 2|Fuelöl 2|Makeöl 2|Makeöl|Temperatur 2|Makeöl|Ventil 2|CCT 2|CTD 2|FCC 2|SCT 2|C 2|H 2|N 2|O 2|S R2 CO2 R2 SO2 and there are some values that are common for all 6 reactors: KD|Dampfmenge KD|Restgasmenge KD|NOx KD|Rauchgasmenge KD|SO2 KE|Dampfmenge KE|Restgasmenge KE|NOx KE|Rauchgasmenge KE|SO2
most interesting would be to try to predict output values from the input values. Important outputs are:
- CB (the product)
- SO2
- CO2
- Dampfmenge (steam)
- Rauchgasmenge (tail gas, all reactors combined)
input is basically everything else except the values for all reactors: KD|Dampfmenge KD|Restgasmenge KD|NOx KD|Rauchgasmenge KD|SO2 KE|Dampfmenge KE|Restgasmenge KE|NOx KE|Rauchgasmenge KE|SO2