Lorgan: The Power of Innovation in AI-Driven Analytics – Utility Companies Welcome! Duke Energy, Engie, National Grid, NextEra, EDF, Enel, Dominion Resources, Iberdrola, Southern Company, Exelon, Diamond Energy, Powershop, EnergyAustralia, AGL, Origin Energy, Alinta Energy, Simply Energy, ActewAGL, Aurora Energy…
- Net Incremental Revenues up to 15%
- Customer Churn Reduction by 10%
- Predictive Maintenance failures reduction by 50%
- Productivity Improvement by 30%
- Prevent potential failures caused by anomalies by 30%
- Optimise Energy costs by 20%
Lorgan specialises in Energy forecasting. Lorgan Energy forecasting includes forecasting demand (load) and price of electricity, fossil fuels (natural gas, oil, coal) and renewable energy sources (RES; hydro, wind, solar). Forecasting can be both expected price value and probabilistic forecasting. Lorgan has Machine learning (ML) capabilities & methods recently contributed very well in the advancement of the prediction models used for energy consumption. Such models highly improve the accuracy, robustness, and precision and the generalization ability of the conventional time series forecasting tools. Logan application systems can handle a growing amount of work by adding resources to the system – increasing resources which in-turn increase sales in the markets.