NREL/REopt.jl
Oct 2025 – Nov 2025
2 Months active
Languages Used
Julia
Technical Skills
data analysisenergy modelingspreadsheet managementtestingalgorithm optimizationanalytical modeling
indu-manogaran
PROFILE
Indu-manogaran
Indupriya Manogaran enhanced the NREL/REopt.jl repository by developing and refining features focused on energy load calculation accuracy and optimization efficiency. Over two months, she introduced a peak-scaling test to validate workbook calculations and aligned test data to improve regression detection and data integrity. She further improved the precision of exponential peak scaling by reducing the optimization step size and replaced the linear peak scaling’s numerical approach with an analytical solution, increasing both speed and reliability. Her work leveraged Julia for algorithm optimization, analytical modeling, and testing, demonstrating a methodical approach to improving the robustness and maintainability of energy modeling workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
2
Lines of code
22,686
Activity Months2
Your Network
74 people
Work History
November 2025
2 Commits • 1 Features
Nov 1, 2025November 2025 performance for NREL/REopt.jl focused on energy load scaling accuracy and optimization efficiency. Key changes included reducing the optimization step size for the exponential peak scaling to improve precision and replacing the linear peak scaling from a numerical approach with an analytical solution to boost both speed and reliability. Tests were updated to ensure precision is maintained across scenarios.
2 Commits • 1 Features
Nov 1, 2025November 2025 performance for NREL/REopt.jl focused on energy load scaling accuracy and optimization efficiency. Key changes included reducing the optimization step size for the exponential peak scaling to improve precision and replacing the linear peak scaling from a numerical approach with an analytical solution to boost both speed and reliability. Tests were updated to ensure precision is maintained across scenarios.
November 2025
October 2025
2 Commits • 1 Features
Oct 1, 2025Month 2025-10 — NREL/REopt.jl: Peak load calculation accuracy enhancements and test-data alignment
October 2025
2 Commits • 1 Features
Oct 1, 2025Month 2025-10 — NREL/REopt.jl: Peak load calculation accuracy enhancements and test-data alignment
Activity
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Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance85.0%
AI Usage25.0%
Skills & Technologies
Programming Languages
Julia
Technical Skills
algorithm optimizationanalytical modelingdata analysisenergy modelingnumerical analysisspreadsheet managementtesting
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