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This project aims to predict aggregate electricity demand from a selected list of locations in the City of Helsinki by using the 3 leading methods: a classical Box-Jenkins model, a Deep Learning Neural Network, and a Facebook Prophet model.

The project itself is divided into 2 parts. The first one is about predictingdaily electricity demand using the first 2 models. The second part use Facebook Prophet to do forecasting onhourly demand.

The data is fetched from the Nuuka open API, courtesy of Avoindata.fi. You can visit our Medium articlehere, or the project websitehere.

Authors:Bruce Nguyen andSon Le.