Load Forecasting

AI forecasts energy demand or gas demand for facilities so operations teams can plan maintenance and consumption in advance.

Business impact

• Energy demand forecast accuracy — Not reported as a number, but the use case is explicitly about forecasting next-day gas demand and campus energy demand.
• Operational planning lead time — The forecast is used before demand occurs, giving teams advance notice.

Data requirements

• Historical consumption data (tabular) — Used in Renault’s forecasting model.
• Weather data (tabular) — Used in Renault’s forecasting model.

AI methods and techniques

• Machine learning — Renault’s Plant Connect pilot uses a machine-learning model to forecast next-day gas demand.
• Forecasting — AI is used to predict future energy demand at Infosys campuses and gas demand at Renault’s plant.

Industries

Real-world evidence

2 documented case studies on record.

Companies using this: Infosys, Renault.