It is a machine learning based regression model implemented in python in which predicts the energy consumption of a house at a particular time span based on temperature and humidity of each rooms and other external factors such wind speed, visibility, dew point, etc.

Packet : prediction_appliances.rar filelist
prediction_appliances/.DS_Store
prediction_appliances/dataset/Data.csv
prediction_appliances/dataset/download.csv
prediction_appliances/dataset/testing_validation.csv
prediction_appliances/dataset/training.csv
prediction_appliances/Dataset Description.txt
prediction_appliances/doc/1-s2.0-S0378778816308970-main.pdf
prediction_appliances/GBRegression.py
prediction_appliances/GBRegression1.py
prediction_appliances/heatmap_app_24hrs.py
prediction_appliances/RandomForest.py
prediction_appliances/README.md
prediction_appliances/RFE.py
prediction_appliances/SVM.pptx
prediction_appliances/training.csv
prediction_appliances/dataset
prediction_appliances/doc
prediction_appliances

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．