electricitymaps/electricitymaps-contrib
Mar 2025 – Jun 2026
13 Months active
Languages Used
YAMLyamlPythonpythonJavaScript
Technical Skills
Configuration ManagementBackend DevelopmentData ParsingEnergy Data AnalysisAPI IntegrationError Handling
Bastien Bigué
PROFILE
Bastien Bigué
Over 13 months, contributed to electricitymaps-contrib by engineering robust data pipelines and backend systems for energy data ingestion, processing, and analytics. Developed and maintained features such as unified CSV parsers for Japanese power zones, dynamic capacity modeling, and cross-border market data integration, leveraging Python, YAML, and JavaScript. Applied configuration management, data parsing, and error handling to improve data reliability and traceability across regional dashboards. Enhanced parser resilience with test-driven development, API integration, and performance optimizations, reducing alert fatigue and improving data quality. The work enabled accurate, timely analytics for energy systems, supporting business decisions and operational planning across multiple regions.
Overall Statistics
Feature vs Bugs
53%Features
Repository Contributions
43Total
Bugs
14
Commits
43
Features
16
Lines of code
1,562,822
Activity Months13
Work History
June 2026
1 Commits • 1 Features
Jun 1, 2026June 2026 spotlight: Delivered a unified Power Data CSV Parser for Japanese zones and a consolidated data retrieval path, enabling reliable, date-aware access to per-zone power breakdowns across 10 JP zones with 30-minute granularity and legacy backfills. Refactored production workflow to a single fetch_production pipeline, improved data quality through extensive parsing normalization and robust error handling, and implemented performance optimizations (archive caching, live fetch fallbacks). Verified end-to-end data integrity across all JP zones and legacy months, delivering tangible reliability improvements for real-time and historical analyses.
1 Commits • 1 Features
Jun 1, 2026June 2026 spotlight: Delivered a unified Power Data CSV Parser for Japanese zones and a consolidated data retrieval path, enabling reliable, date-aware access to per-zone power breakdowns across 10 JP zones with 30-minute granularity and legacy backfills. Refactored production workflow to a single fetch_production pipeline, improved data quality through extensive parsing normalization and robust error handling, and implemented performance optimizations (archive caching, live fetch fallbacks). Verified end-to-end data integrity across all JP zones and legacy months, delivering tangible reliability improvements for real-time and historical analyses.
June 2026
May 2026
4 Commits • 3 Features
May 1, 2026May 2026: Implemented key data delivery improvements and reliability hardening in electricitymaps-contrib. Result: richer data coverage, unified data models, and more dependable data fetches that directly enable better business decisions and downstream analytics. Key outcomes: - Expanded data coverage with Scheduled Exchanges Total across ENTSOE-border lines, enabling a complete view of day-ahead and total schedules and improving data accuracy and usability for market analysis and dashboards. - Unified ATC data type and added Nordpool source, merging core/external and shadow auctions and updating configs to support Nordpool fetch, increasing market transparency and coverage. - Redesign of intraday price fetching: moved from feeder to parser with continuous and refetch modes, enabling flexible, range-based data retrieval and higher reliability for intraday pricing. - Reliability and test hygiene improvements: implemented HTTP retry logic for 429 and transient 5xx errors across JAO/Nordpool/ESIOS; migrated tests to requests_mock for better isolation and maintainability. Overall impact: - Higher data completeness and accuracy across multiple markets, reducing gaps and misalignments in market data. - Stronger resilience to temporary network or service outages, lowering data latency and downtime. - More robust and maintainable parsers, with a clearer type system and improved test strategy, setting the stage for future extensions. Technologies/skills demonstrated: - Python data modeling and type-system design (MarketAgreementType, unified ATC data type) - Parser refactoring and cross-provider integration (ENTSOE, JAO, Nordpool, ESIOS) - Robust, scalable HTTP retry patterns using session-level adapters - Test isolation improvements using requests_mock and pytest fixtures
May 2026
4 Commits • 3 Features
May 1, 2026May 2026: Implemented key data delivery improvements and reliability hardening in electricitymaps-contrib. Result: richer data coverage, unified data models, and more dependable data fetches that directly enable better business decisions and downstream analytics. Key outcomes: - Expanded data coverage with Scheduled Exchanges Total across ENTSOE-border lines, enabling a complete view of day-ahead and total schedules and improving data accuracy and usability for market analysis and dashboards. - Unified ATC data type and added Nordpool source, merging core/external and shadow auctions and updating configs to support Nordpool fetch, increasing market transparency and coverage. - Redesign of intraday price fetching: moved from feeder to parser with continuous and refetch modes, enabling flexible, range-based data retrieval and higher reliability for intraday pricing. - Reliability and test hygiene improvements: implemented HTTP retry logic for 429 and transient 5xx errors across JAO/Nordpool/ESIOS; migrated tests to requests_mock for better isolation and maintainability. Overall impact: - Higher data completeness and accuracy across multiple markets, reducing gaps and misalignments in market data. - Stronger resilience to temporary network or service outages, lowering data latency and downtime. - More robust and maintainable parsers, with a clearer type system and improved test strategy, setting the stage for future extensions. Technologies/skills demonstrated: - Python data modeling and type-system design (MarketAgreementType, unified ATC data type) - Parser refactoring and cross-provider integration (ENTSOE, JAO, Nordpool, ESIOS) - Robust, scalable HTTP retry patterns using session-level adapters - Test isolation improvements using requests_mock and pytest fixtures
April 2026
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for electricitymaps-contrib focused on expanding cross-border visibility and market-coupling data quality. Delivered end-to-end Day-Ahead capacity and scheduled exchanges data integration with JAO and ENTSO-E, enabling more accurate forecasting, capacity planning, and market decisions across Core, Nordic, and Nordic regions. What was delivered: - Day-Ahead capacity data integration: Implemented JAO parser for Core & Nordic day-ahead capacity datasets with new data types (shadow auction ATC, max exchanges, scheduled exchanges), plus Nordic support and region-aware configuration. This adds a dedicated data path for JAO capacities and aligns with ENTSO-E results in downstream tables. - Core external ATC day-ahead: Added a separate JAO fetcher for Core external ATC day-ahead capacity, enabling visibility of external borders (e.g., IT-NO, BG-RO) in daily planning. - ENTSO-E scheduled exchanges day-ahead: Wired ENTSO-E scheduledExchangesDayAhead data across 92 borders into the existing exchange framework, ensuring consistent cross-border forecasts with market-coupling data. - Refactor and data-model improvements: Unified per-border dataset fetchers via a shared _fetch_per_border_dataset, reducing duplication and improving maintainability. Renamed and normalized several ParserDataTypes to align with JAO vocabulary, and dropped surface prefixes to reflect source data slugs. - Tests, fixtures, and data discovery: Expanded snapshot tests using real 2-day fixtures; introduced ad-hoc discovery tooling to validate data coverage across borders; improved validation around date ranges and fetch windows. Impact and value: - Broader, more accurate Day-Ahead visibility across Core, Nordic, and ENTSO-E boundaries improves forecasting, risk management, and cross-border trading decisions. - Improved data quality and reliability through real-data fixtures, regression tests, and consistent data typing across publishers. - Reduced maintenance burden and improved extensibility by centralizing per-border fetch logic and aligning naming with source data slugs. Technologies and skills demonstrated: - Python data parsers and ETL for market data (JAO, ENTSOE) with multi-region configuration management - Data modeling and enum/type alignment to source systems - Test-driven development with snapshot tests and live fixtures - Cross-publisher data integration (JAO and ENTSO-E) and 2-day window fetch patterns - Data discovery tooling for gap analysis and coverage validation
2 Commits • 1 Features
Apr 1, 2026April 2026 monthly summary for electricitymaps-contrib focused on expanding cross-border visibility and market-coupling data quality. Delivered end-to-end Day-Ahead capacity and scheduled exchanges data integration with JAO and ENTSO-E, enabling more accurate forecasting, capacity planning, and market decisions across Core, Nordic, and Nordic regions. What was delivered: - Day-Ahead capacity data integration: Implemented JAO parser for Core & Nordic day-ahead capacity datasets with new data types (shadow auction ATC, max exchanges, scheduled exchanges), plus Nordic support and region-aware configuration. This adds a dedicated data path for JAO capacities and aligns with ENTSO-E results in downstream tables. - Core external ATC day-ahead: Added a separate JAO fetcher for Core external ATC day-ahead capacity, enabling visibility of external borders (e.g., IT-NO, BG-RO) in daily planning. - ENTSO-E scheduled exchanges day-ahead: Wired ENTSO-E scheduledExchangesDayAhead data across 92 borders into the existing exchange framework, ensuring consistent cross-border forecasts with market-coupling data. - Refactor and data-model improvements: Unified per-border dataset fetchers via a shared _fetch_per_border_dataset, reducing duplication and improving maintainability. Renamed and normalized several ParserDataTypes to align with JAO vocabulary, and dropped surface prefixes to reflect source data slugs. - Tests, fixtures, and data discovery: Expanded snapshot tests using real 2-day fixtures; introduced ad-hoc discovery tooling to validate data coverage across borders; improved validation around date ranges and fetch windows. Impact and value: - Broader, more accurate Day-Ahead visibility across Core, Nordic, and ENTSO-E boundaries improves forecasting, risk management, and cross-border trading decisions. - Improved data quality and reliability through real-data fixtures, regression tests, and consistent data typing across publishers. - Reduced maintenance burden and improved extensibility by centralizing per-border fetch logic and aligning naming with source data slugs. Technologies and skills demonstrated: - Python data parsers and ETL for market data (JAO, ENTSOE) with multi-region configuration management - Data modeling and enum/type alignment to source systems - Test-driven development with snapshot tests and live fixtures - Cross-publisher data integration (JAO and ENTSO-E) and 2-day window fetch patterns - Data discovery tooling for gap analysis and coverage validation
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 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
1 Commits • 1 Features
Mar 1, 2026March 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.
January 2026
7 Commits • 4 Features
Jan 1, 2026In 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.
7 Commits • 4 Features
Jan 1, 2026In 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.
January 2026
December 2025
2 Commits
Dec 1, 2025December 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
2 Commits
Dec 1, 2025December 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
5 Commits • 2 Features
Nov 1, 2025November 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.
5 Commits • 2 Features
Nov 1, 2025November 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
October 2025
1 Commits
Oct 1, 2025Month: 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.
October 2025
1 Commits
Oct 1, 2025Month: 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
4 Commits • 1 Features
Aug 1, 2025August 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.
4 Commits • 1 Features
Aug 1, 2025August 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
June 2025
4 Commits
Jun 1, 2025June 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
4 Commits
Jun 1, 2025June 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
5 Commits
May 1, 2025May 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.
5 Commits
May 1, 2025May 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
April 2025
4 Commits • 2 Features
Apr 1, 2025April 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
4 Commits • 2 Features
Apr 1, 2025April 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
3 Commits • 1 Features
Mar 1, 2025March 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.
3 Commits • 1 Features
Mar 1, 2025March 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
Activity
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Quality Metrics
Correctness91.8%
Maintainability88.4%
Architecture87.0%
Performance84.4%
AI Usage26.6%
Skills & Technologies
Programming Languages
JavaScriptPythonYAMLpythonyaml
Technical Skills
API IntegrationAPI integrationBackend DevelopmentConfiguration ManagementData FilteringData ManagementData ParsingEnergy Data AnalysisError HandlingHTML ParsingJavaScript developmentPydantic validationPythonPython DevelopmentPython development
Repositories Contributed To
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