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ITECH7407 Real Time Analytics

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Sunspots are the temporary phenomenon generated by strong magnetic fields emanating from the interior of the Sun. Sunspot activity cycles about every 11 years and can be visible as back flecks on the surface of the Sun. Peak solar activity is often marked by mass ejection of intense high-energy radiation from the sun’s surface called solar flares. Solar flares are known to have several impacts on earth, including their impact on satellite communication and radio transmission. Predicting solar activity is therefore of paramount importance.

Relevant data analysis tasks are to:

  1. Explore the monthly solar activitydata 
  2. Determine different trends and patterns
  3. Develop a model to predict solar activity up to 12 months in advance and its implications for the firm you have chosen.

 Modelling mean monthly solar exposure

There is a growing interest in improving the knowledge of the relationship between sustainable urban development and local climatic conditions. In particular, such knowledge can be very useful to urban planners and bio meteorologists for the design of sustainable buildings and green landscapes to minimize energy consumption, and potentially mitigate the Urban Heat Island intensity and effects. Solar radiation exposure is one of the main factors driving changes in various surface processes on earth, including local changes in the near-surface air temperature. Knowledge and understanding of the influence of solar radiation exposure on maximum temperature, for example, can be very useful for sustainable planning of an urban environment.

Relevant data analysis tasks are to:

  1. Explore the monthly solar exposure for Ballarat Aerodrome (or any other Australian location of your interest); data available at http://www.bom.gov.au/climate/data/.
  2. Determine different trends and patterns

Rainfall variability and trends is widely known to be impacted by climate change in various parts of Australia and globally. Such changes will have dire consequences in various socio-economic sectors such as agriculture firms. Please chose one of such examples and design analytical solutions.

In this project, your data analysis tasks are to:

  1. Explore the monthly rainfall data for Ballarat (or any other Australian location of your interest); data available at http://www.bom.gov.au/climate/data/.
  2. Determine different trends and patterns
  3. Develop a model to predict rainfall up to 12 months in advance.
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