Title

Carleton Energy Database and Analytics

Individual author or multiple authors

Group

Major

Computer Science (CS)

Category of Work

Comps

Additional Category of Work

None

Degree

Bachelor of Arts

Class Year

2021

Department or Program

Computer Science

Comps Adviser(s)

Ondich, Jeff

Keywords

energy, database, machine learning, anomaly detection, stl, forest, isolation, brick, schema, frontend, backend

Academic Civic Engagement (ACE) Comps Designation

no

Format

application/x-7z-compressed

Rights Management

Student author/s retain copyright to this work. Through online submission process, author/s granted Carleton College the non-exclusive rights to preserve this work as part of Carleton's academic history and to use it for teaching purposes and/or institutional research and assessment.

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