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A Machine Learning Framework to identify the Optimal location for Electric Vehicle Charging Stations M.Sc. Research Project Data AnalyticsNayan Sharma Student ID: X21167818 School of Computing National
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Identify the objective of the project and the purpose of the siting and sizing.
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Finalize the siting and sizing plan and document the rationale behind the decision.

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Energy engineers and developers looking to maximize the efficiency and performance of renewable energy projects.
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Optimal siting and sizing refers to the process of determining the best location and capacity for a particular project or system.
Certain industries or companies may be required to file optimal siting and sizing reports as part of regulatory requirements.
Optimal siting and sizing reports can be filled out by analyzing relevant data, conducting assessments, and making informed decisions based on the findings.
The purpose of optimal siting and sizing is to maximize efficiency, minimize costs, and ensure that the project or system meets its objectives effectively.
Information such as location analysis, capacity assessment, cost analysis, and risk evaluation must be reported on optimal siting and sizing.
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