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ITECH1103 Big Data And Analytics 6

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Question:

Your task for this analytical project is to use the Watson Analytics tool to explore, analyze and visualize the given dataset: Solar Cities, power usage. You will need to provide interesting insights, trends and patterns from the data set features.

Data set background:

The Solar cities project was a project led by the University of Ballarat, (former name of Federation University), which involved the recruitment of households and businesses across the Loddon Mallee and Grampians regions to monitor changes in energy consumption. The project looked at a number of factors that could influence energy consumption. These factors were broken up into sets of features, and measurements were taken for each respective feature. For example, a factor could be related to a dwelling's construction materials. In which case a feature could be “dwelling construction type” and a measurement would be taken to determine the construction type for each dwelling and stored in the data set. For example “dwelling construction type” could contain the values brick, brick veneer etc... Many of these features are included within the provided Solar Cities data set.

The following are sets of features included in the provided data set:

  • Adoption of solar energy technologies
  • Geographic characteristics
  • Physical characteristics of the dwellings, including such things as the dwellings age, size, number of stories, number of lights, insulation etc.

The main aim of this project is to understand the drivers of power consumption, and as a large percentage of electrical energy is created by coal fired plants, then conversely the drivers of CO2

Therefore two main questions that need to be asked as a researcher of the Solar Cities project are:

  1. Which combination of features highlight where efficiencies could be made in the reduction in energy consumption?
  2. What would you include in a predictive model that would explain the demand on future energy use and CO2emissions?

i.e. which features and their measurements contribute to either higher or lower energy consumption? (For a predictive model, Watson Analytics does have a rule based engine...)

You have been commissioned as a research assistant with the main aim to find the drivers of power usage, understand the factors that contribute to this and provide any useful and interesting insights, trends and patterns that could be presented to the stakeholders of this project. Your intended audience are the project manager and associated stakeholders.

Your findings will be presented to the project manager and the other stakeholders, where you will outline the factors that contribute to power usage and what your recommendations will be to reduce power consumption, given the current dwellings that exist in the given geographical locations in country Victoria (i.e found in the data set).

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