SolarPowerGenerationPrediction

This project entitled is useful to the power distribution companies to plan the other conventional power requirements based on the solar power. Accurate power planning leads to less power failures. Less number of power failures leads to more industrial growth.

SOFTWARE REQUIREMENTS

1. Visual Studio Community Version
2. Nodejs ( Version 12.3.1)
3. Python IDEL ( Python 3.7 )

HARDWARE REQUIREMENTS

1. OPERATING SYSTEM: WINDOWS ONLY
2. PROCESSOR: I5 AND ABOVE
3. RAM: 4GB AND ABOVE
4. HARD DISK: 50 GB

IMPLEMENTATION

1)Data exploration: using this module we will load data into the system
2)Processing: Using the module we will read data for processing
3)Splitting data into train & test: using this module data will be divided into train & test
4)Model generation: Machine Learning - SVR - PSO - GA-SVR - SVR - GPR - Persistence with SVR - Voting Regression(LR + RFR + KNN) - Stacking Regression (RidgeCv + SVR + RFR)
Deep Learning - ANN – LSTM. Algorithms accuracy calculated
5)User signup & login: Using this module will get registration and login
6)User input: Using this module will give input for prediction
7)Prediction: final predicted displayed

OUTPUT