Jul 2021 - Sep 2021 (Expected)
Data Science, Descriptive analysis, Predictive analysis, Data visualization, Social behaviour, Data engineering
A data-related project was set to understand the occupants behaviour toward electricity consumption. These occupants are the users of an SME in Devon that use its platform. By showing their behaviour on their own dashboard, will help them understand their electricity consumption and help them look at the prediction on the next consumption. This project will investigate several public datasets to demonstrate the visualization of the electricity consumption. Some datasets we consider are data about smart meters, energy performance certificates, properties characteristics, weather, etc. Here, the weather dataset can be provided by our partner the Met Office and the data collection and analysis part will be supported by the University of Exeter.
This project acts as a proof-of-concept and aims to explore potential ways to understand people's behaviour through data. Hence, the project comprises 4 elements: Data generator, Data Aggregator, Data Visualization, and Forecasting. At a start, we focus more on data collection and generation to understand some factors that affect electricity consumption. In essence, the generation of the synthetic data aims to demonstrate the use of techniques in data collection and aggregation. With this demonstration, allowing us to further analyze user consumption’s patterns and predict what the next consumptions will be. Finally, we will visualize the electricity consumption per user in a dashboard to help users understand how good/bad they consume electricity and the prediction of future consumption.