Integrating weather data plays a crucial role in making energy forecasting more accurate and preparing for potential disruptions caused by extreme weather. Utilities use this information to better manage energy demand, strengthen grid resilience, and ensure smoother operations during weather events. To achieve this, the approval process involves reviewing the quality of weather data, understanding its impact on energy needs, and ensuring that all integration steps meet regulatory standards and align with operational goals. Relying on manual methods for these approvals can slow things down. Extensive paperwork, coordination across departments, and lengthy reviews often result in delays. This can lead to incomplete forecasts, operational challenges, and missed opportunities to prepare effectively for weather-related risks. To prevent these issues, it’s essential to have an efficient approval system in place. Automating the process of integrating weather data simplifies the workflow. With an automated system, reviews happen faster, data is incorporated more efficiently, and approvals are completed without unnecessary delays. Automation also provides a clear view of progress, helping teams track approvals and maintain accountability throughout. By tailoring workflows to specific weather scenarios, utilities can ensure that their energy models are always updated with accurate, timely information, allowing them to respond effectively to changing conditions.