This article provides an analysis on the Solar Cities project using Big Data and Analytics. It includes reporting and dashboards, research, and recommendations for project managers and stakeholders.

Big Data and Analytics - Analysis on Solar Cities Project

The Solar City Project by University of Ballarat evaluates the drivers of power consumption and CO2 emissions in Loddon Mallee and Grampians regions. Factors such as adoption of solar energy technologies, geographical and physical characteristics of dwellings were assessed to evaluate power consumption. The project found that dark and intermediate colour roofs, older constructions, and higher PV capacity contribute to lower power usage. On the other hand, houses with more lamps, tinted windows with curtains, and dark coloured roofs made of timber and concrete blocks utilize more power. The project recommends using higher PV capacity, windows with double glazed blinds, older constructions, and higher insulation capacity to PV to save power.

University Of Ballarat

Data Science and Big Data

Solar City Project: Factors Influencing Energy Consumption and CO2 Emissions

This research paper aims to obtain a critical insight of the important power consumption drivers. The visualisations related to technology of solar energy along with data analysis focus on certain features, which are enumerated briefly as follows: Enforcement of technologies pertaining to solar energy, Geographical features, Physical features that the houses have including variables like bedrooms, roof colour, materials utilised, staircases, size, lighting used, PV capacity and housing insulation

Hartpury University and Hartpury College

Analysis and Visualization of Big Data

This presentation provides an analysis of power consumption in the Solar City Project based on data collected from households and businesses across two regions. It covers various factors that impact energy consumption, such as roof colour, PV capacity, insulation, wall construction, and more. The presentation also includes insights and recommendations for reducing energy consumption.

Analysis of Power Consumption in Solar City Project

This research report analyses the variables that impact energy consumption in households and businesses across two regions in Australia. The report answers 18 preliminary questions and provides recommendations based on the findings. The dashboard presentation highlights where efficiencies can be made in reducing energy consumption and what predictive models can explain future energy use and CO2 emissions.

Business Development

Big Data Analysis: Research Questions, Answers, and Recommendations

This article explores the Solar Cities Project conducted by the University of Ballarat to evaluate power usage in the regions of Loddon Mallee and Grampians. The study investigated various factors that influence power consumption, such as building construction age, material, roof colour, tenure, and location. The article provides recommendations to reduce power usage and highlights the impact of roof colour, PV capacity, and window coverings on power consumption. The study found that power consumption varies with wall construction and location of a building. The article concludes with a reflection on the use of IBM Watson Analytics for data visualization.

Big Data and Analytics - Analysis on Solar Cities Project

Solar City Project: Factors Influencing Energy Consumption and CO2 Emissionslg...

Analysis and Visualization of Big Datalg...

Analysis of Power Consumption in Solar City Projectlg...

Big Data Analysis: Research Questions, Answers, and Recommendationslg...

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Big Data and Analytics - PDFlg...

Solar City Project: Factors Influencing Energy Consumption and CO2 Emissions

Analysis and Visualization of Big Data

Analysis of Power Consumption in Solar City Project

Big Data Analysis: Research Questions, Answers, and Recommendations

Big Data and Analytics

Big Data and Analytics - PDF