https://dentremontengineering.ca/tags/machine-learning/Recent content in Machine Learning on d'Entremont Systems Engineering Inc.Hugo -- gohugo.ioen© 2026 Greg d'Entremont, P.Eng.Fri, 20 Feb 2026 00:00:00 +0000https://dentremontengineering.ca/projects/environmental-monitoring-platform/Fri, 20 Feb 2026 00:00:00 +0000https://dentremontengineering.ca/projects/environmental-monitoring-platform/ Overview # Designed and implemented a real-time river level forecasting system integrating telemetry ingestion, preprocessing pipelines, machine learning models, and automated deployment. Problem # Hydrometric data was available, but: No predictive analytics No structured data pipeline No automated model training Limited operational forecasting capability Architecture # Data Storage: InfluxDB (15-second resolution river data) Monitoring: Grafana dashboards Preprocessing: Python data alignment & feature engineering Modeling: TensorFlow LSTM recurrent neural network Automation: GitLab CI/CD pipelines Deployment: Containerized services on Proxmox VM infrastructure Key Engineering Elements # Multi-source time-series alignment (5-minute normalized intervals) Cyclical feature encoding for seasonality Automated model evaluation and metrics storage Forecast tagging for separation of observed vs predicted data Pipeline artifact retention and reporting Results # 24-hour forecast generation Continuous retraining via CI pipeline Structured observability of prediction accuracy Production-ready telemetry-to-forecast workflow Skills Demonstrated # Systems Architecture Infrastructure Automation Time-Series Data Engineering Machine Learning Integration Observability & Monitoring