WattsIQ combines predictive analytics, machine learning, and automation to optimize electricity consumption across residential, commercial, and industrial environments. Our AI-driven platform transforms energy data into actionable intelligence.
WattsIQ is a Canadian technology company developing intelligent tools that optimize electricity consumption through artificial intelligence. Our systems integrate predictive analytics, real-time monitoring, and automated control to help reduce power waste and lower emissions.
Traditional energy management relies on historical data and manual adjustments. WattsIQ shifts the paradigm by deploying machine learning models that anticipate consumption patterns, weather impacts, and operational demands. The result is a dynamic system that adapts in real time, minimizing inefficiency while maintaining comfort and productivity.
Our platform transforms raw energy data into strategic intelligence through advanced algorithms and predictive modeling.
Neural network models analyze historical consumption patterns, weather forecasts, and operational schedules to predict energy demand with precision. This enables proactive load balancing and prevents peak charges.
Machine learning algorithms continuously monitor energy flow to identify irregular patterns, equipment malfunctions, and efficiency degradation. Alerts are triggered before minor issues escalate into costly failures.
AI-driven control systems automatically adjust heating, cooling, lighting, and equipment operation based on occupancy, weather conditions, and grid pricing. Optimization occurs without human intervention.
Integration with meteorological data allows the system to anticipate temperature fluctuations and adjust HVAC systems ahead of weather changes, reducing reactive energy spikes.
Comprehensive dashboards visualize energy efficiency metrics, carbon footprint reduction, and cost savings. Data is segmented by time, zone, and equipment for granular analysis.
Models improve over time by incorporating new data, seasonal variations, and user behavior. The system evolves to match the unique characteristics of each installation.
WattsIQ's predictive capabilities extend beyond basic monitoring to deliver measurable performance improvements.
By forecasting peak consumption periods, the system pre-cools buildings, shifts non-critical loads, and coordinates distributed energy resources to flatten demand curves and reduce utility charges.
Predictive maintenance algorithms monitor equipment performance indicators to schedule servicing before failure, extending operational lifespan and reducing replacement costs.
For installations with solar panels or wind generation, WattsIQ forecasts renewable output and adjusts consumption patterns to maximize self-consumption and minimize grid reliance.
Real-time carbon intensity data from the grid is integrated to prioritize energy use during periods of lower emissions, supporting environmental goals and regulatory compliance.
WattsIQ adapts to diverse environments with tailored configurations for residential, commercial, and industrial applications.
Homeowners integrate WattsIQ with smart thermostats, water heaters, and EV chargers. The system learns household routines and weather patterns to minimize energy use without compromising comfort. Monthly reports provide transparency on savings and carbon reduction.
Office buildings deploy WattsIQ to manage HVAC, lighting, and plug loads across multiple zones. Occupancy sensors and calendar integrations ensure energy is allocated only where needed. Predictive models anticipate occupancy changes and adjust systems accordingly.
Manufacturing plants and warehouses use WattsIQ to coordinate heavy machinery, refrigeration, and process equipment. Load forecasting aligns production schedules with low-cost electricity periods, while anomaly detection prevents equipment downtime.
Hotels implement WattsIQ to optimize room conditioning based on booking data. Vacant rooms reduce energy consumption automatically, while occupied rooms maintain guest comfort. Central systems benefit from predictive load balancing.
Retail stores integrate WattsIQ with refrigeration, lighting, and security systems. AI models adjust settings based on foot traffic, inventory levels, and seasonal patterns, reducing operational costs while maintaining product integrity.
Hospitals and clinics deploy WattsIQ to manage critical and non-critical systems separately. Predictive algorithms ensure backup power readiness, while non-essential loads are optimized to reduce costs without affecting patient care.
Quantified outcomes from WattsIQ deployments across Canadian installations.
These metrics represent aggregated data from residential, commercial, and industrial deployments across Quebec and Ontario. Results vary based on building type, existing infrastructure, and operational patterns. WattsIQ provides transparent reporting to track performance over time.
Connect with our engineering team to discuss how WattsIQ can be configured for your environment. We provide technical consultations, system design, and deployment planning.