Frequently Asked Questions

Energy consumption forecasting is the practice of analyzing historical usage data, environmental conditions, and behavioral patterns to predict how much energy a building, facility, or portfolio will require over a given time period. Our platform applies artificial intelligence models trained on diverse datasets to deliver predictions across multiple horizons, from next-day estimates to full-year projections. This enables property managers, facility operators, and building owners to plan resources, negotiate energy contracts, allocate budgets, and avoid unexpected cost spikes with much greater confidence than traditional estimation methods provide.

H. GAE LIMITED is a technology company specializing in analytical solutions powered by artificial intelligence for the energy sector. We focus on developing tools and models that help residential and commercial property owners across Canada better understand, predict, and manage their energy consumption. Our team combines expertise in data science, machine learning, and energy systems to deliver insights that are both accurate and actionable. The company is registered in the United Kingdom and provides its services to clients operating throughout the Canadian market.

Our AI analytics platform is designed to serve both residential and commercial properties. This includes single-family homes, multi-unit residential buildings, office complexes, retail spaces, warehouses, industrial facilities, and mixed-use developments. The platform scales from individual properties to portfolios of buildings managed by a single owner or operator. Each analysis is tailored to the specific characteristics of the property type, including its heating and cooling systems, occupancy patterns, and the energy sources it relies upon. Whether you manage a single building or oversee dozens of properties, our models adapt to deliver relevant forecasts.

Our platform identifies specific areas where energy is being consumed inefficiently and provides actionable recommendations to address them. By understanding exactly when peak consumption occurs and the factors driving it, you can adjust schedules, equipment settings, and operational practices to lower costs. The magnitude of savings depends on your current consumption patterns, the age and condition of your building systems, how recommendations are implemented, and external factors like utility rate changes. We provide transparent, data-backed projections rather than guarantees, so you can make informed decisions about which optimizations to pursue.

Yes, our system generates scheduled reports on a weekly, monthly, or custom basis depending on your preferences. Each report includes consumption summaries, forecast comparisons showing predicted versus actual usage, anomaly alerts, cost projections, and trend analyses. Reports are delivered in accessible formats that can be shared with your team, stakeholders, or building management partners. You can customize which metrics appear in your reports and set thresholds for the alerts you want to receive. The reporting frequency can be adjusted at any time as your needs evolve.

The cost optimization analysis translates energy data into financial insights. It includes estimated future energy costs based on current consumption trends, identification of the highest-cost consumption periods, comparison of your spending against similar properties, and specific recommendations to reduce expenditures. The analysis factors in utility rate structures applicable to your region in Canada, including time-of-use pricing where relevant. Each recommendation comes with an estimated impact range so you can prioritize the changes that offer the most meaningful financial benefit for your situation.

In most cases, no additional hardware is required. Our platform works with data from your existing energy infrastructure including smart meters, building management systems (BMS), HVAC controls, and utility provider records. We integrate with commonly used data formats and protocols to extract the information needed for analysis. If a specific property would benefit significantly from additional sensing or more granular data collection, we will discuss those options during your initial consultation. Our priority is always to maximize the value you receive from the infrastructure you already have in place.

Consumption analysis examines what has already happened: it reviews historical and current data to identify patterns, waste, and inefficiencies. Load forecasting, on the other hand, looks forward: it uses historical patterns along with predictive variables like weather forecasts, occupancy schedules, and seasonal factors to estimate what your energy demand will be in the future. Both work together as complementary parts of our platform. Analysis provides the foundation of understanding, while forecasting builds on that foundation to help you plan ahead, allocate resources, and make proactive decisions rather than reactive ones.

We take data security seriously. All energy data transmitted to our platform is encrypted in transit and at rest using industry-standard protocols. Access to your data is restricted to authorized personnel involved in your analysis. We do not share your energy data with third parties for marketing or any purpose unrelated to the services you have requested. Detailed information about how we collect, process, and store data is available in our Privacy Policy. You may request deletion of your data at any time by contacting our team directly.

The specific data collected depends on the type of analysis and the systems available at your property. Typically, we work with historical energy consumption records (electricity, gas, and other utilities), meter readings, building management system (BMS) data, HVAC operational logs, and occupancy information where available. We also incorporate publicly available weather data for your location. During the initial consultation, we will explain exactly what data is needed, why it is needed, and how it will be used. You remain in full control of what information you choose to share with our platform.

Yes. You may request the deletion of your personal data and energy data at any time by contacting us at [email protected]. We will process deletion requests within 30 days, in accordance with applicable data protection regulations. Please note that deletion of energy data will discontinue active forecasting and analytics services associated with that data. Certain records may be retained for a limited period if required by law or for legitimate business purposes such as invoicing and legal compliance, as described in our Privacy Policy.