Research on using different Deep Learning models for forecasting Buildings' Energy consumbtion

Note: the paper is under review for the IEEE SouthEast Conference

The research was conducted by me and Menna Nawar using the ASHRAE dataset provided by kaggle.

You can find the Paper here on arxiv.

In this research We've:

introduced a new transfer learning method that can help with forecasting the energy consumption of buildings with scarce data
compared our method with the well-known machine learning and deep learning models used for timeseries forecasting
compared the performance of the before/after using our introduced technique

Hopefully this way would increase the amount of research done in the field of transfer learning and utilizing it better in different fields.