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Big Data and Analytics

   

Added on  2023-06-11

9 Pages1895 Words436 Views
Running Head: BIG DATA AND ANALYTICS
Big Data and Analytics
Name of the Student
Name of the University
Author Note

1BIG DATA AND ANALYTICS
Table of Contents
Background Information..................................................................................................................2
Reporting / Dashboard.....................................................................................................................2
Research...........................................................................................................................................4
Recommendations............................................................................................................................5
Recommendation 1......................................................................................................................5
Recommendation 2......................................................................................................................6
Reflection.........................................................................................................................................6
References........................................................................................................................................7

2BIG DATA AND ANALYTICS
Background Information
The solar cities project is the brain child of the University of Ballarat. The project was conceived
to evaluate the power usage in the regions of Loddon Mallee and Grampians. The ultimate aim
of the project was to investigate the power consumption of houses in the region for a four-year
period. Moreover, the project also studied factors which influenced power consumption.
Different possible factors which had a bearing on the power usage of buildings were
investigated. The possible factors ranged from the building construction age, material, roof
colour, tenure and location of the building, colour of the roof and type of windows. In fact, the
number of lamps in the building was also taken into account. Moreover, the area of the building
to the number of stories in the building was also taken into account. The probable factors were
counterweighed with the installed PV capacity and insulation of the buildings.
The objective of the project was to evaluate how various factors influence power consumption.
The power consumption of a building was related to production of power through the use of
fossil fuel and thus the liberation of CO2 / greenhouse gases.
The project intended to recommend suitable features in buildings use of which would reduce the
power usage of buildings and thus would contribute to safer environment.
Reporting / Dashboard
To fulfil the objective of Solar Cities Project the University of Ballarat collected information on
Power Usage of the Region for the last four years. The data derived after the completion of the
project is visualised thorough the use of IBM Watson Analytics.
From the investigation into the information it is found that the Least contributor of power usage
are Dark and Intermediate coloured roofs. Conversely Light coloured roofs contribute to higher

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