Can someone help me build the model and write a Python programme to test it?

What is the best operating strategy for the Rotterdam plant to balance the use of wind power to produce green hydrogen versus using it to generate electricity for the Grid, providing green energy to homes, electric vehicles and businesses. How should this operation be optimized to ensure the project is commercially successful? Optimization would reflect a whole range of factors, including deciding when operations should switch from one use of the electricity to the other.

The objective of this task is to create a model that tells us when to use the electrolyser to generate hydrogen and when to run it in reverse to generate electricity

The model should create a recommendation at the start of the day for each hour in the day

The recommendations should be based on the actual situation at the end of the day and our forecasts for the future

The model should aim to maximise the profit we make from selling excess electricity to the grid less the costs of buying additional electricity from the grid

The model should ensure that there is always enough hydrogen available to meet demand at the plant

We have provided you with one years data to train your model, you can change it to csv.

We will provide an additional month of data in the same format to evaluate your model Also there are hourly data with parameters like wind_speed, Production_Actual_MWh, Production_Forecast_1hour_MWh, Electricity_Prices_Day_Ahead_Dollar and Electricity_Prices_Spot_Dollar, I don't know how to use these parameters in the model

Month	Hydrogen_Daily_Demand_Forecast_KG
Jan-22	16504
Feb-22	13445
Mar-22	16652
Apr-22	18921
May-22	14677
Jun-22	19456
Jul-22	19528
Aug-22	19812
Sep-22	14656
Oct-22	17367
Nov-22	17534
Dec-22	19784