
Bastien Bigué contributed to the electricitymaps-contrib repository by engineering robust data ingestion, parsing, and configuration management solutions for global energy datasets. Over ten months, he enhanced backend reliability by tuning parser delays, normalizing output structures, and implementing dynamic capacity modeling. Using Python and YAML, Bastien improved data quality through targeted bug fixes, resilient error handling, and automated localization, ensuring accurate analytics and dashboard reporting. His work included API integration, test-driven development, and data filtering to address evolving data sources and operational requirements. These efforts resulted in more reliable, maintainable pipelines and increased confidence in energy data for planning and analysis.
March 2026 monthly summary for electricitymaps-contrib. Delivered Energy Capacity Data Refresh (December 2025) updating US energy zone capacities, including battery storage and other sources, to December 2025 values. This enhances analytics accuracy and planning dashboards by aligning capacity signals with the latest dataset. No major bugs fixed this period. The work emphasizes data quality, traceability, and reproducibility through a single, well-documented commit.
March 2026 monthly summary for electricitymaps-contrib. Delivered Energy Capacity Data Refresh (December 2025) updating US energy zone capacities, including battery storage and other sources, to December 2025 values. This enhances analytics accuracy and planning dashboards by aligning capacity signals with the latest dataset. No major bugs fixed this period. The work emphasizes data quality, traceability, and reproducibility through a single, well-documented commit.
In January 2026, delivered a targeted set of feature enhancements and reliability improvements for electricitymaps-contrib, focused on capacity modeling, dynamic energy conversion, data reliability, and flexible zone configurations. Key capacity updates across JP exchanges and IT-NO to SI improve planning accuracy, efficiency, and reliability. Introduced a dynamic ES->MA energy conversion factor with date-aware computation and updated corresponding net flow tests. Strengthened ESIOS data ingestion with retry mechanisms and improved error handling for connection issues, reducing data fetch failures. Added Zero Production Zone Configuration to enable zero-capacity zones for broader scenario analysis. These changes enhance data integrity, forecasting confidence, and operational resilience, delivering measurable business value in planning and reliability.
In January 2026, delivered a targeted set of feature enhancements and reliability improvements for electricitymaps-contrib, focused on capacity modeling, dynamic energy conversion, data reliability, and flexible zone configurations. Key capacity updates across JP exchanges and IT-NO to SI improve planning accuracy, efficiency, and reliability. Introduced a dynamic ES->MA energy conversion factor with date-aware computation and updated corresponding net flow tests. Strengthened ESIOS data ingestion with retry mechanisms and improved error handling for connection issues, reducing data fetch failures. Added Zero Production Zone Configuration to enable zero-capacity zones for broader scenario analysis. These changes enhance data integrity, forecasting confidence, and operational resilience, delivering measurable business value in planning and reliability.
December 2025 monthly summary focusing on data quality improvements in energy capacity data for electricitymaps-contrib. Completed critical capacity corrections for TW, ES, MQ, and GB, and resolved double counting in US-SW-AZPS. These data quality fixes improve data reliability for modeling and business decisions, with traceable commits and cross-team collaboration.
December 2025 monthly summary focusing on data quality improvements in energy capacity data for electricitymaps-contrib. Completed critical capacity corrections for TW, ES, MQ, and GB, and resolved double counting in US-SW-AZPS. These data quality fixes improve data reliability for modeling and business decisions, with traceable commits and cross-team collaboration.
November 2025 monthly summary for electricitymaps-contrib focused on reliability, data quality, and parser robustness across Grid India and ENTSOE inputs. Delivered robust data ingestion improvements, enhanced observability, and strengthened error handling with added tests, leading to higher data availability and traceability for daily reports.
November 2025 monthly summary for electricitymaps-contrib focused on reliability, data quality, and parser robustness across Grid India and ENTSOE inputs. Delivered robust data ingestion improvements, enhanced observability, and strengthened error handling with added tests, leading to higher data availability and traceability for daily reports.
Month: 2025-10 — This month focused on cleaning up price data parsers in electricitymaps-contrib to improve reliability and reduce maintenance overhead. Key activities included removing non-functional IL and US_PJM price parsers and deleting the associated data fetch code. These changes directly reduce noise in price data, prevent incorrect region prices from being ingested, and simplify future parser maintenance. The work is captured in a single commit linked to issue #8416 for traceability.
Month: 2025-10 — This month focused on cleaning up price data parsers in electricitymaps-contrib to improve reliability and reduce maintenance overhead. Key activities included removing non-functional IL and US_PJM price parsers and deleting the associated data fetch code. These changes directly reduce noise in price data, prevent incorrect region prices from being ingested, and simplify future parser maintenance. The work is captured in a single commit linked to issue #8416 for traceability.
August 2025 monthly summary for electricitymaps-contrib: Improved data completeness and reliability through targeted fixes and localization enhancements, aligning with business goals of providing accurate, timely energy data and a better regional user experience. Delivered robust data coverage, parser reliability improvements, and zone naming/localization automation.
August 2025 monthly summary for electricitymaps-contrib: Improved data completeness and reliability through targeted fixes and localization enhancements, aligning with business goals of providing accurate, timely energy data and a better regional user experience. Delivered robust data coverage, parser reliability improvements, and zone naming/localization automation.
June 2025 monthly summary for electricitymaps-contrib: Focused on stabilizing data ingestion and improving data quality across the Cyprus and GB production pipelines, with enhancements that directly impact dashboard accuracy and downstream analytics. Delivered targeted parsing and API fixes, along with robust data quality filters and test coverage to ensure only valid production data is processed. Tech stack and practices strengthened through Python-based data parsing, API integration, and test-driven development. Overall impact includes higher data fidelity, reduced remediation time, and increased stakeholder confidence in production data.
June 2025 monthly summary for electricitymaps-contrib: Focused on stabilizing data ingestion and improving data quality across the Cyprus and GB production pipelines, with enhancements that directly impact dashboard accuracy and downstream analytics. Delivered targeted parsing and API fixes, along with robust data quality filters and test coverage to ensure only valid production data is processed. Tech stack and practices strengthened through Python-based data parsing, API integration, and test-driven development. Overall impact includes higher data fidelity, reduced remediation time, and increased stakeholder confidence in production data.
May 2025 performance summary for electricitymaps/electricitymaps-contrib focused on data quality, parser reliability, and robustness. Key data-processing improvements were implemented to standardize parser outputs, improve handling of missing production data, and clean emission factor data, delivering clearer analytics, fewer downstream errors, and better data hygiene for dashboards and reporting.
May 2025 performance summary for electricitymaps/electricitymaps-contrib focused on data quality, parser reliability, and robustness. Key data-processing improvements were implemented to standardize parser outputs, improve handling of missing production data, and clean emission factor data, delivering clearer analytics, fewer downstream errors, and better data hygiene for dashboards and reporting.
April 2025 monthly summary focusing on key accomplishments: Strengthened data reliability and parameter alignment across the electricitymaps-contrib repo; delivered zone-based production delay thresholds and EMBER parser enhancements; fixed critical data parsers to adapt to spreadsheet changes; improved data integrity, reduced false positives/negatives, and enabled more accurate emissions estimates.
April 2025 monthly summary focusing on key accomplishments: Strengthened data reliability and parameter alignment across the electricitymaps-contrib repo; delivered zone-based production delay thresholds and EMBER parser enhancements; fixed critical data parsers to adapt to spreadsheet changes; improved data integrity, reduced false positives/negatives, and enabled more accurate emissions estimates.
March 2025 (2025-03) Monthly Summary: Focused on stabilizing production data workflows by tuning regional parser delays to reduce noisy alerts and improve data accuracy. Delivered cross-region consistency by adjusting delays for AU-NT, AU-WA, ZA, CO, MX, and standardizing US zones to 48 hours where appropriate. These changes improved data reliability, reduced alert fatigue, and support SLA commitments for regional dashboards and downstream analytics.
March 2025 (2025-03) Monthly Summary: Focused on stabilizing production data workflows by tuning regional parser delays to reduce noisy alerts and improve data accuracy. Delivered cross-region consistency by adjusting delays for AU-NT, AU-WA, ZA, CO, MX, and standardizing US zones to 48 hours where appropriate. These changes improved data reliability, reduced alert fatigue, and support SLA commitments for regional dashboards and downstream analytics.

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