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
Identifier (Includes All Files and Enter All Their Files Name)
hahnj2_2021_CS_website.7z
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
Files Uploaded
Website
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.
