sakshee5/renewable-energy-forecasting-for-integrated-smart-grid

Problem statement: Smart India Hackathon

Renewable-Energy-Forecasting-for-Integrated-Smart-Grid

Problem statement: Smart India Hackathon 2020

Approach:

1. Simulation of a micro-grid/utility system.
2. Developing energy generation forecasting models using Statistical/Machine Learning Methods.(Done using Long-Short term memory networks(LSTMs) and Vector Auto Regression (VAR) - code provided).
3. Developing a scheduling system for the utility/micro-grid controller using well characterized optimization algorithms (Done by using the convex Optimization algorithm module Cvxpy - code provided).
4. The final step is integratimg the forecasting model and scheduler with the simulation setup which could finally be deployed as a web application so that an Integrated Smart Grid utility manager could remotely monitor the operations of the deployed system in real-time.