Data in energy
energy data: smart meters and grid telemetry, load forecasting, outage and asset data, and the governance around critical infrastructure.
Energy and utilities generate some of the densest operational data in any industry: SCADA telemetry, smart meter intervals, grid sensor feeds, drilling and production logs, and weather-linked demand signals. This block builds fluency in that landscape. You will learn how core data concepts (structured vs. time-series data, data pipelines, quality dimensions) apply specifically to generation, transmission, and consumption contexts. You will map the essential sources and datasets utilities and energy firms rely on, understand the metrics used to judge data quality and analytical maturity, and study the governance, privacy, and audit frameworks required in a sector regulated for grid reliability, safety, and customer data protection. The focus stays strictly on data, not financial or commercial ratios.
What you'll master
- Identify and map the key data sources across the energy value chain, including SCADA, AMI/smart meters, SCADA/EMS, and asset sensor feeds
- Evaluate dataset quality using sector-relevant metrics such as meter data completeness, latency, and telemetry accuracy
- Apply data governance frameworks to address grid reliability, safety-critical data, and customer privacy requirements
- Design and run practical data quality checks and audits suited to time-series and operational energy datasets
Key terms
Modules
Covers core data concepts applied to metering, forecasting, outages, and critical infrastructure governance.
Covers mapping energy data sources, assessing quality, benchmarking maturity, and measuring data value.
Covers consent, cross-border flows, governance councils, and audits for regulatory compliance.
Latest articles
Recent articles from the blog that apply to Energy & Utilities.