Applying Data Science to Solar Soft Cost Reduction.

Words: 240
Pages: 1
Subject: Uncategorized

Greetings of the Day!

Backgound about my self:
I graduated with master of science in computer schince. an expert in data and machine learning, I work as developer in the industry.
I want to apply my phd in data science to solar energy fields.
I found interested topic here: https://www.energy.gov/eere/education/research-topics
the topic is:
Data analytics for prediction of solar generation and PV system performance.
For your ref an example to support you : kindly, I have attached old thesis PDF document.

The outline must be:
EXECTIVE SUMMARY/ INTRODUCTION
– General strong overview realted to the topic.
BACKGROUND
– Strong background related the topic.
LIERATURE REVIEW
– Address the problem statement.
– Address the soultion to the problem.
PURPOSE
– What is the purpose of the paper/research.
METHODOLOGY
– What are the expected data/machine learning science-algorthims will use to solve the problem.
Discussion
– Strong Discussion/Points realted to the topic and the problem.
ORIGINALITY AND CONTRIBUTIONS
– In this area, please include the devepement of the future work.

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