Why Fuel Forecasting Must Evolve

In an era of rising energy costs, increasing demand variability, and regulatory scrutiny, utilities face mounting pressures to forecast fuel usage with precision. Fuel forecasting in this sector is one of the most critical yet complex planning functions. For power generators, especially those spanning multiple jurisdictions, the complexity is staggering. Yet, many still rely on legacy tools and siloed data systems that leave room for error and inefficiency.

This reality became increasingly unsustainable for a prominent energy utility group operating across several U.S. states. Managing diverse fuel types like natural gas, coal and renewable sources across multiple plants and regulatory environments, the utility’s fuels forecasting team found themselves spending more time collecting and cleaning data than analyzing it. Manual processes threatened their ability to operate reliably, efficiently, and to remain compliant. Despite this team’s positive record of forecast accuracy, they identified the risk of growing manual complexity and understood the need to evolve.

They also recognized a broader truth: without automation, the weight of managing raw fragmented data, from ingestion to validation, can overwhelm even the most experienced teams. By removing the “burden of data,” automation enables teams to focus more of their valuable time on what truly matters: responding faster, optimizing decisions, and aligning operations with strategic goals.

With the mounting complexities and a desire to modernize forecasting operations, the utility partnered with Aligned Automation to achieve their forecasting goals, to begin automating everything from data ingestion to regulatory reporting, and in the process, turning a risk-heavy process into a strategic advantage.