evcc-io/evcc
May 2025 – Oct 2025
3 Months active
Languages Used
yamlYAMLjq
Technical Skills
Embedded SystemsIoTIoT IntegrationAPI IntegrationConfigurationConfiguration Management
Tom
PROFILE
Tom
Tom Biesterbos contributed to the evcc-io/evcc repository by building and enhancing integrations for Daikin Home Hub and Dutch CO2 data sources, focusing on energy management and emissions forecasting. He implemented Modbus TCP/IP and API integrations, developed configuration templates in YAML, and used jq for data transformation. His work enabled unified control and monitoring of Daikin devices, improved CO2 data granularity from hourly to 15-minute intervals, and resolved timezone and tariff data handling bugs. Tom’s engineering demonstrated depth in configuration management, embedded systems, and data processing, resulting in more reliable, accurate, and maintainable workflows for smart-grid and energy optimization scenarios.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
7Total
Bugs
2
Commits
7
Features
4
Lines of code
213
Activity Months3
Your Network
153 peopleWork History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered two CO2-focused improvements in evcc that enhance data fidelity and reliability for emissions analytics and forecasting. The CO2 data granularity was increased from hourly to 15 minutes by adjusting the ned.nl API granularity parameter, enabling finer-grained analysis and smarter energy optimization. A timezone parsing bug in the CO2 forecast was fixed by updating the ned.yaml template to use validfrom/validto fields directly, reducing potential timezone errors. These changes improve data accuracy, trust, and maintainability while delivering measurable business value through more precise CO2 metrics. Technologies demonstrated include API integration, YAML/jq-based templating, and careful data handling for time-based data.
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered two CO2-focused improvements in evcc that enhance data fidelity and reliability for emissions analytics and forecasting. The CO2 data granularity was increased from hourly to 15 minutes by adjusting the ned.nl API granularity parameter, enabling finer-grained analysis and smarter energy optimization. A timezone parsing bug in the CO2 forecast was fixed by updating the ned.yaml template to use validfrom/validto fields directly, reducing potential timezone errors. These changes improve data accuracy, trust, and maintainability while delivering measurable business value through more precise CO2 metrics. Technologies demonstrated include API integration, YAML/jq-based templating, and careful data handling for time-based data.
October 2025
September 2025
3 Commits • 2 Features
Sep 1, 20252025-09 monthly summary for evcc-io/evcc: Delivered new Daikin Homehub Modbus TCP/IP integration, added Dutch CO2 forecast data support from ned.nl, and fixed Ned.nl tariff data date handling. These changes broaden interoperability, improve energy forecasting accuracy, and ensure correct utilization data filtering. Key commits include f50790066b0360e7a43a52607f404c0bc6eb675f, 1ca21e51da7b2f36ddd592ae53510adf7acd576f, and 44bcb6875b647b2b0e39f0eb1d76deca167f822b. Overall impact: enhanced automate-ability, reliability, and data quality across Tariff and CO2 forecasting workflows. Technologies/skills demonstrated include Modbus TCP/IP integration, configuration templates, API data ingestion, JSON/JQ data transformation, and robust date handling.
September 2025
3 Commits • 2 Features
Sep 1, 20252025-09 monthly summary for evcc-io/evcc: Delivered new Daikin Homehub Modbus TCP/IP integration, added Dutch CO2 forecast data support from ned.nl, and fixed Ned.nl tariff data date handling. These changes broaden interoperability, improve energy forecasting accuracy, and ensure correct utilization data filtering. Key commits include f50790066b0360e7a43a52607f404c0bc6eb675f, 1ca21e51da7b2f36ddd592ae53510adf7acd576f, and 44bcb6875b647b2b0e39f0eb1d76deca167f822b. Overall impact: enhanced automate-ability, reliability, and data quality across Tariff and CO2 forecasting workflows. Technologies/skills demonstrated include Modbus TCP/IP integration, configuration templates, API data ingestion, JSON/JQ data transformation, and robust date handling.
May 2025
2 Commits • 1 Features
May 1, 2025May 2025: Delivered Daikin Home Hub integration with evcc, expanding device compatibility and enabling energy management workflows for Daikin devices. Added configuration for temperature sources and power, mapped Daikin smart grid modes to evcc, and introduced max power control to support safe operation and optimization. This release strengthens the evcc platform by enabling unified control, monitoring, and energy optimization for Daikin devices, paving the way for broader smart-grid collaborations.
2 Commits • 1 Features
May 1, 2025May 2025: Delivered Daikin Home Hub integration with evcc, expanding device compatibility and enabling energy management workflows for Daikin devices. Added configuration for temperature sources and power, mapped Daikin smart grid modes to evcc, and introduced max power control to support safe operation and optimization. This release strengthens the evcc platform by enabling unified control, monitoring, and energy optimization for Daikin devices, paving the way for broader smart-grid collaborations.
May 2025
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Quality Metrics
Correctness91.4%
Maintainability91.4%
Architecture88.6%
Performance82.8%
AI Usage20.0%
Skills & Technologies
Programming Languages
YAMLjqyaml
Technical Skills
API IntegrationConfigurationConfiguration ManagementData ProcessingEmbedded SystemsIoTIoT Integrationembedded systemshardware integrationiot
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