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Residential Solar Panel Energy Prediction Study

Purpose

Solar panels have become a popular alternative to traditional electricity. This research aims to increase its popularity among residential. Starting from the dataset about energy consumption in a Belgian family with solar panels on their roof, we analyze its relationship with local weather and properties of a house and then offer constructive advice to residentials.

Methodology

  • Machine Learning Algorithms:
    • K-means Cluster
    • Multiple Linear Regression
    • Neural Network
    • Support Vector Regression
  • Time Series Analysis Models