The aim of this project is to build a machine learning algorithm to forecast electricity and water consumption for the 27 sites in Dubai Police facilities. This aim is to establish a central database with all the data to monitor the energy consumption in a systematic manner and feed the data in a visualized dashboard. The data was collected from the energy conservation department at Dubai Police for five years from 2017 to 2021 comprising of electricity and water consumption details data. Due to the numerous buildings and facilities any irregular behavior in consumption takes time to be identified using conventional analysis methods, therefore this project will be able to support the organization to find out their energy savings/loss hotspots and facilitate immediate action for the employees to avoid time and monetary loss. Consumption data gathered will be processed through R Programming language to break it down into quarter consumption for each site. The Processed data for 2017 to 2020 will be an input for the multiple regression and ARIMA models to forecast the quarter consumption of year 2021 and to showcase the model. Finally, tableau software will be used to visualize the data and to build the dashboard in the future.
Professional Studies (MS)
Department, Program, or Center
Graduate Programs & Research (Dubai)
Alqasim, Amal Rashid, "Using Regression Analysis for Predicting Energy Consumption in Dubai Police" (2022). Thesis. Rochester Institute of Technology. Accessed from