INTELLIGENT RENEWABLE-ENERGY PRIORITIZED HOME AUTOMATION AND LOAD BALANCING USING RASPBERRY PI AND PREDICTIVE AI

This paper addresses a smart home automation and energy management system that will help to better utilize renewable energy in the daily functioning of the household. The Raspberry Pi used as the central controller to collect real-timed data from the current and voltage sensor and is able to control household applications through ION-enabled switching modules. The system is able to better manage a load and balance the use of solar and grid electricity by predictive load forecasting, genetic algorithm and random forest on historical energy consumption, load scheduling, and energy source selection.