Machine Learning Algorithms for Energy Consumption Prediction in Smart Homes: A Comparative Study

Keyphrases

• Artificial Neural Network 33%
• Coefficient of Determination 33%
• Cost Reduction 33%
• Energy Consumption Prediction 100%
• Energy Management Applications 33%
• Energy Optimization 33%
• Energy Usage 33%
• Environmental Impact 33%
• Extreme Gradient Boosting(XGBoost) 33%
• Gated Recurrent Unit 33%
• Long Short-term Memory Network 33%
• Machine Learning Algorithms 100%
• Mean Absolute Error 66%
• Mean Absolute Percentage Error 33%
• Mean Squared Error 66%
• Prediction Accuracy 33%
• Random Forest 33%
• Random Forest Regression 33%
• Smart Home 100%
• Smart Home Energy Management 33%
• Support Vector Machine 33%
• Unit Support 33%
• Valuable Insight 33%
• Weather Data 33%

Chemical Engineering

• Learning System 100%
• Long Short-Term Memory Network 50%
• Neural Network 50%
• Support Vector Machine 50%
• Xgboost 50%