Weather data has become a core operational resource for electric utilities, helping them anticipate and mitigate the impact of environmental conditions on grid reliability. Accurate, localized weather information enables operators to predict load variations, identify potential storm-related outages, and plan maintenance or restoration activities more efficiently. Integrating temperature, wind, and precipitation data into forecasting systems improves the ability to manage both generation and demand in dynamic weather conditions, ultimately reducing downtime and operational costs.

Utilities are also leveraging advanced analytics and machine learning to correlate weather patterns with asset performance and failure history. This integration supports risk-based decision-making, allowing companies to prioritize grid hardening, vegetation management, and emergency preparedness in high-risk zones. As climate variability increases the frequency of extreme events, embedding weather intelligence directly into daily utility operations is becoming a strategic necessity for maintaining service continuity and long-term resilience.

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Source: https://www.tdworld.com/smart-utility/data-analytics/article/55325037/utility-basics-weather-data-in-utility-operations