The Challenge
A facility used solar as baseline power for operations but had no visibility into tomorrow's expected solar generation. Production was scheduled assuming either normal conditions or expected zero solar output (conservative assumption).
What Became Visible
Solar forecasting integration (using local weather data and historical patterns) provided 24-hour-ahead generation forecasts with 85–90% accuracy. Tomorrow's expected solar output was known by evening — enabling production managers to shift consumption-intensive processes to high-solar-generation days and schedule maintenance during low-solar-generation days.
What Changed
Solar output forecasting dashboard showing 24-hour and 7-day forecasts. Production managers could schedule processes based on forecasted solar availability.
How it worked: High-energy-consumption processes (heat treatment, heavy machining, compressor charging) were scheduled to coincide with forecasted high-solar days. Low-solar days were reserved for maintenance, meetings, and lower-energy tasks. This alignment improved the facility's solar self-consumption rate and reduced grid consumption during peak solar.
Results
24-hour ahead
better solar alignment
from scheduled alignment
from load shifting
Solar generation is variable, but variable does not mean unpredictable. Forecasting transforms tomorrow's solar output from unknown to visible, enabling production planning to align with renewable availability.
Operational Reality
Most facilities treat solar as unplannable and schedule production conservatively. The facilities that forecast solar output align production for maximum renewable utilization.