Systems and methods for performance-aware energy saving in a radio access network

A system described herein may provide for the use of artificial intelligence/machine learning ("AI/ML") techniques to model energy usage information and energy saving techniques in various locations or regions (e.g., sectors) associated with one or more radio access networks ("RANs") of a wireless network. The system may determine energy saving techniques, such as radio frequency ("RF") transmission modification in time and/or frequency domains, antenna mode modification, cell sleep mode, beamforming parameters, and/or other suitable techniques to modify energy consumption at such sectors. The system may balance energy savings with maintaining Quality of Service ("QoS") metrics at an acceptable level.