Open source live power market data for Great Britain
A simple python wrapper for the Elexon BMRS API.
extracts the Great Britain electricity (a.k.a. balancing mechanism) data. The origin of the data is Balancing Mechanism Reporting Service BMRS, Elexon.
Tool to query the Elexon Balancing Mechanism Reporting Service (BMRS) API
Guidelines and code snippets for extracting and processing Elexon gross demand data on Databricks. Provides half-hourly GB demand at sectoral (Domestic, Non-domestic), GSP-area granularity, settlement demand, and embedded generation. Supports non-commodity cost calculations for CfD, RO, and FiT.
Full-stack dashboard to monitor UK wind energy forecasts using React, FastAPI, and Data Analysis.
Wrapper for Elexon API with pandas df outputs
Python client for GB balancing data from Elexon BMRS, NESO and Carbon Intensity. Raises an error on the endpoints that only serve live data.
GB electricity-market analytics — grid data ingested with Dagster, warehoused in ClickHouse + dbt, served via FastAPI to a React dashboard, refreshed every 15 minutes. Live at tianguiswatt.com
A GB grid-battery digital twin: co-optimised dispatch (arbitrage + frequency response), an independent physics check, deterministic backtesting and project economics on real 2025 market data — with the cost of every remaining assumption measured. Archived at v0.1.0.
Agentic power imbalance risk tool using point-in-time Elexon (UK electricity system API) data, Extremely Randomised Trees binary classifier (using D-1 data) and auditable LLM tool calling.
Half-hourly GB wholesale electricity cost exposure for a factory load profile using Elexon BMRS prices (Python, pandas).
Live dashboard tracking Great Britain's national electricity grid: generation mix, carbon intensity, wholesale price, system frequency, interconnector flows, and regional carbon intensity across all 14 GB DNO regions.
Elexon BMRS Insights MCP — Great Britain electricity grid & market data.
Reproducing GB balancing-market forecasting papers with BMRS data, feature audits and rolling evaluation.
What common modelling shortcuts cost a grid battery's revenue forecast, measured one at a time on two years of GB market data — degradation pricing dominates, the efficiency curve is nearly innocent, and every published number is traceable to a results file
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