LST-E: Our Industry-Specific Energy Forecasting Model
LST-E is Scalytics' advanced energy forecasting model built on LSTM architecture, designed to optimize energy usage, reduce costs, and lower emissions. Trained using federated learning on decentralized data, it ensures compliance while delivering highly accurate, actionable predictions. Available on GitHub and HuggingFace, LST-E empowers businesses to make smarter energy decisions with tailored, regulation-compliant AI solutions.