Advances in machine learning, the Internet of Things (IoT), and deep predictive analytics are taking home energy management beyond what has been achievable using the “smart building” technology typically in use.
Truly advanced systems allow you to control your lighting, water, HVAC systems, and more. At the same time, AI software runs in the background learning your preferences to balance your comfort, energy usage, and budget. Akeptus, an autonomous building company, is part of this revolution in energy management.
By employing IoT analytics, machine learning, and artificial intelligence software, our platform's advanced capabilities have created systems to completely automate and optimize HEM so homeowners can save more energy, money, and time.
Energy ManagementTo fully understand where a system lands on the continuum of advanced
technology, we’ve compiled a brief overview of the four levels of HEM:
LEVEL 0
Historical DataHomeowners can look at past data through home energy reports. You can make an effort to change your lighting, HVAC systems, etc., but are truly limited in what you can accomplish in terms of saving money and energy.
LEVEL 1
Real-Time MonitoringThis is the most common level of autonomy today, offering real-time data on a home’s energy consumption and allowing you to manage devices using the view of your live power usage.
LEVEL 2
Real-Time Data + Connected DevicesNot only can you view real-time energy consumption and device-specific power usage, but you can also manage your home and energy remotely whenever you want and wherever you are.
LEVEL 3
Change Guided by InsightThrough this HEM platform, real-time data is combined with metadata from connected devices to offer more accurate insight and improve device performance and efficiency.
At Level 3, the platform uses data science and data analysis to understand how appliances operate and provide suggestions and notifications.
LEVEL 4
Self-Managed Home OptimizationLevel 4 is a completely automated and optimized energy system that uses AI to drive its performance. It’s where we at Akeptus thrive.
At this level, the HEM platform uses a powerful combination of real-time energy data, a network of connected devices, and knowledge and analysis of the habits and patterns of device usage.
This machine learning solution uses AI and deep predictive analytics to fine-tune settings for optimal energy savings and occupant comfort levels.
With Akeptus, homeowners can rest easy knowing they are saving money, reducing their carbon footprint, and maintaining occupant comfort, all without having to lift a finger.
Fully optimized and automated energy systems at Level 4 are the next best thing since power lines and are available now. Learn more at Akeptus.com