simple Deep Learning model for price prediction
Budget: €250 – €750 EUR
Hello. I need a dev that would develop a simple deep learning model that would predict the electricity price in italy. I built the entire dataset with something less than 9000 rows. In this dataset there are the following data that go from 1 September 2021 to 30 September 2022. The features are the following:
1) Datetime
2) Energy Demand
3) Petroil and Gas features price
4)Climatic Data on three cities
5) Rewenable Energy Production
6) The data to predict: Hourly Electricity price.
I need someone that does the following things:
1) Select the most accurated model (LSTM or any other) and setup anything in the most accurated way (epochs, number of layers etc...)
2) Apply all hyperparameters in order to improve the accuracy
3) Reach a reasonable accuracy (at least 0.80)
4) Save the model to a .pkl file
The developer should give me:
1) The source code file, written in python and show me the real accuracy of the model
2) PKL file
1) Datetime
2) Energy Demand
3) Petroil and Gas features price
4)Climatic Data on three cities
5) Rewenable Energy Production
6) The data to predict: Hourly Electricity price.
I need someone that does the following things:
1) Select the most accurated model (LSTM or any other) and setup anything in the most accurated way (epochs, number of layers etc...)
2) Apply all hyperparameters in order to improve the accuracy
3) Reach a reasonable accuracy (at least 0.80)
4) Save the model to a .pkl file
The developer should give me:
1) The source code file, written in python and show me the real accuracy of the model
2) PKL file