Energy Efficient Mobile Application for Solar Energy using Machine Learning

As individuals search for environmentally acceptable ways to preserve the environment, solar panels are a great option. However, the utility sector requires intelligent technologies that can effectively increase the integration of renewable energy. So, we have proposed building this solar estimation platform which culminates Artificial Intelligence, Machine Learning, and Software Engineering to build the best solar estimation application, where professional companies can sell their solar devices and provide estimation for costs and potential solar production for the clients. On Earth the largest source of energy is Sun. Solar energy is more than many times of human needs. If solar power is utilized in a proper way, it can cater to all our needs in a sustainable way. Solar energy depends on several factors like geographic locations, altitude, weather conditions, diurnal variation, etc. We propose a model which identifies optimal space for harnessing solar energy using ANN for predicting the daily GSR of location in India and then using our traineddeep neural network model with all the factors affecting solar flux in consideration.