The disclosed technology relates to a process for managing power consumption of Wi-Fi access points. The solution is composed of three parts. A first part creates power profiles for each of the switches having access points within a computer network that detail how power consumption for an access point can be modified based on changing one or more elements associated with the access point. The second part creates a time-based radio constraint profile that details power requirements for an access point based on client devices connected to the access point within a pre-defined area to ensure that each client device can connect and stay connected with the access point. The third part utilizes machine learning to generate a model that identifies optimal settings for the access point in order to achieve a specific level of power consumption for the access point.