Multi-Energy-Systems-Optimization/mesido
Nov 2024 – Mar 2026
2 Months active
Languages Used
CSVPythonXML
Technical Skills
Data AnalysisEnergy Systems ModelingPython ScriptingTime Series AnalysisUnit TestingPython
Jaimepatt
PROFILE
Jaimepatt
Contributed to the Multi-Energy-Systems-Optimization/mesido repository by developing features that enhance energy systems modeling and time series analysis. Delivered a method for separate discretization of peak days for heating and cooling, updating Python scripts to improve demand forecasting accuracy where peak periods differ. Added unit tests to ensure robust handling of overlapping or sequential peaks, supporting more reliable optimization decisions. Later, implemented COP-based power consumption modeling for geothermal assets, introducing an electric geothermal source that integrates with electricity markets for cost estimation. Work emphasized disciplined Python development, backend engineering, and thorough validation, resulting in deeper modeling capabilities without reported bug regressions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,310
Activity Months2
Your Network
19 peopleSame Organization
@tno.nl14
Work History
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 — Focused feature delivery for MESido with COP-based power consumption modeling for geothermal assets and introduction of an electric geothermal source that accepts an electricity carrier, enabling electricity-based cost calculations and better integration with electricity markets. No major bugs reported; work prioritized modeling accuracy and business value.
1 Commits • 1 Features
Mar 1, 2026March 2026 — Focused feature delivery for MESido with COP-based power consumption modeling for geothermal assets and introduction of an electric geothermal source that accepts an electricity carrier, enabling electricity-based cost calculations and better integration with electricity markets. No major bugs reported; work prioritized modeling accuracy and business value.
March 2026
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 performance focused on enhancing time-series energy modeling accuracy for the Multi-Energy-Systems-Optimization/mesido project. Delivered a feature to separately discretize peak days for heating and cooling, improving demand forecasting where peak periods differ by application. Updated adapt_profiles.py to support distinct peak-day handling and added tests to validate behavior for overlapping or sequential heating/cooling peaks. This work demonstrates strong Python/time-series engineering, test coverage, and disciplined version control. Major impact: more accurate energy demand forecasts, enabling better planning and optimization decisions. Commit reference: f93f939a97a440775aacc368f2d24da7f71931bd (166 adapt profiles for heating and cooling peak day seperately).
November 2024
1 Commits • 1 Features
Nov 1, 2024November 2024 performance focused on enhancing time-series energy modeling accuracy for the Multi-Energy-Systems-Optimization/mesido project. Delivered a feature to separately discretize peak days for heating and cooling, improving demand forecasting where peak periods differ by application. Updated adapt_profiles.py to support distinct peak-day handling and added tests to validate behavior for overlapping or sequential heating/cooling peaks. This work demonstrates strong Python/time-series engineering, test coverage, and disciplined version control. Major impact: more accurate energy demand forecasts, enabling better planning and optimization decisions. Commit reference: f93f939a97a440775aacc368f2d24da7f71931bd (166 adapt profiles for heating and cooling peak day seperately).
Activity
Loading activity data...
Quality Metrics
Correctness85.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
CSVPythonXML
Technical Skills
Data AnalysisEnergy Systems ModelingPythonPython ScriptingTime Series AnalysisUnit Testingbackend developmentenergy systems modeling
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline