Communication frame work in an electric vehicle charging station supporting solar energy management

Exploiting Renewable energy to the maximum extent possible in an electric vehicle charging station (EVCS) is key supporting anticipated carbon reduction from vehicles (EVs). Knowing expected load and solar advance at EVCS can be crucial framing a proper management strategy. Selection of suitable parameters associated with participating EVs are vital utilizing them for predicting probable EV given period under consideration. A prototype smart communication infrastructure developed considering pv as source. Real time between multiple agents has been established effectively using interactive website, cloud server short message service (SMS) application programming interface (API). The data generated models have utilized random forest regression (RFR) classifier model order predict every minute duration. integrated frame work found less complex implement autonomous direct current (DC EVCS). details provided graphical user (GUI) designed instrumental developing