A method may be disclosed for energy savings in cellular networks, comprising: collecting performance data from the cellular network; sharing the performance data with a batch process to train a prediction model; loading the prediction model into a closed-loop process; using the performance data in combination with the trained prediction model to predict cellular access network load for a particular cell; using the predicted cellular access network load to determine a recommended action; and executing the recommended action. The method may be implemented using a public cloud. The trained prediction model may be used to classify different cells and determine different recommended actions for the different cells.