/Micro-Grid-Analysis

Developed an application that provides real time visualization of load side usage of a micro grid. Implemented various prediction techniques to detect power usage of appliances. The application displays the entire load side demand and also the predicted generation side demand thereby enabling the microgrid operator to switch from conventional to non conventional form of sources. By doing so, microgrid usage can be optimized to make the entire system robust and more reliable

Primary LanguagePythonGNU General Public License v3.0GPL-3.0

Micro-Grid-Analytics

This repo is for users who are interested in micro-grid analytics. The project has basically three parts to it viz. Solar Generation side analytics, Load Side Analytics and Model deployment using a web application.

Analytics and Graphs

This folder mainly focuses on building models to the Datasets in the folder for forecasting Solar generation and Load requirements. Models used are ANNs and LSTMs.

Web App

This folder consists of model deployment and data visualizaton. Tech stack includes 1)React.js 2)Flask 3)MongoDB. Please note that the web app built is only for Enphase (https://enlighten.enphaseenergy.com) based systems for solar data logging.