bramstroker/homeassistant-powercalc
Nov 2025 – Jan 2026
3 Months active
Languages Used
JSON
Technical Skills
configuration managementdata modelingdevice integration
Felix
PROFILE
Felix
Felix Spangenberg contributed to the bramstroker/homeassistant-powercalc repository by developing three new device models over three months, focusing on enhancing energy usage estimation for smart lighting devices. He applied configuration management and data modeling skills to introduce model configurations, measurement settings, and calculation strategies for smart candle and filament bulbs, including support for specific models like the innr RF 273 T, RF 274 T, and RB287. Working primarily with JSON, Felix improved device integration and broadened compatibility, enabling more accurate power consumption profiling. His work reduced user configuration effort and delivered measurable improvements in calculation accuracy for end users and installers.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
59
Activity Months3
Your Network
68 peopleWork History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary: Delivered a new Smart Filament Bulb Device Model for the PowerCalc integration, including measurement settings and a calculation strategy to improve energy usage calculations for filament bulbs. Implemented Innr RF 273 T support (commit 47a83fc7a32ea551dc1a36ce14772631a8cd5ae5). The work broadens device compatibility, reduces user configuration effort, and improves calculation accuracy, delivering measurable business value to end users and installers.
1 Commits • 1 Features
Jan 1, 2026January 2026 monthly summary: Delivered a new Smart Filament Bulb Device Model for the PowerCalc integration, including measurement settings and a calculation strategy to improve energy usage calculations for filament bulbs. Implemented Innr RF 273 T support (commit 47a83fc7a32ea551dc1a36ce14772631a8cd5ae5). The work broadens device compatibility, reduces user configuration effort, and improves calculation accuracy, delivering measurable business value to end users and installers.
January 2026
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for bramstroker/homeassistant-powercalc focused on delivering a new Smart Bulb Power Consumption Profiling feature to enhance device-specific power estimation for the Smart Filament Bulb E27 Tunable Edison. The work included introducing a device profile with measurement settings, a calculation strategy, and supporting data files plus a model configuration to improve accuracy based on device characteristics. Commits extended bulb support with the innr RF 274 T and RB287 models. No major bugs reported in this period. Overall, the update strengthens energy efficiency insights and end-user value within the Home Assistant PowerCalc ecosystem.
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025 monthly summary for bramstroker/homeassistant-powercalc focused on delivering a new Smart Bulb Power Consumption Profiling feature to enhance device-specific power estimation for the Smart Filament Bulb E27 Tunable Edison. The work included introducing a device profile with measurement settings, a calculation strategy, and supporting data files plus a model configuration to improve accuracy based on device characteristics. Commits extended bulb support with the innr RF 274 T and RB287 models. No major bugs reported in this period. Overall, the update strengthens energy efficiency insights and end-user value within the Home Assistant PowerCalc ecosystem.
November 2025
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for bramstroker/homeassistant-powercalc. Focused on delivering enhanced device modeling for candle devices and improving energy usage estimation through model configuration and color temperature data.
1 Commits • 1 Features
Nov 1, 2025November 2025 monthly summary for bramstroker/homeassistant-powercalc. Focused on delivering enhanced device modeling for candle devices and improving energy usage estimation through model configuration and color temperature data.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSON
Technical Skills
configuration managementdata modelingdevice integration
Repositories Contributed To
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