Machine Learning Model for Predicting Long-Term Energy Consumption in Buildings

Keyphrases

• Building Energy Consumption 100%
• Energy Terms 100%
• Least Squares Support Vector Regression (LSSVR) 100%
• Machine Learning Models 100%
• XGBoost 100%
• Energy Consumption 66%
• R-squared Value 66%
• Rapid Growth 33%
• Environmental Factors 33%
• Machine Learning Techniques 33%
• Construction Sector 33%
• Sustainable Design 33%
• Complex Interactions 33%
• Predictive Modeling 33%
• Carbon Emissions 33%
• Energy Performance 33%
• Building Envelope 33%
• Consumption Emissions 33%
• Energy Efficiency 33%
• Sustainable Energy 33%
• Design Optimization 33%
• Energy Emission 33%
• Energy Usage 33%
• Building Sector 33%
• Energy Optimization 33%
• Building Characteristics 33%
• Adept 33%
• Building Performance Simulation 33%
• Hot Climate 33%
• Machine Learning Algorithms 33%
• Energy Security 33%
• Predictive Ability 33%
• Energy Consumption Pattern 33%
• Three-machine 33%
• Environmental Energy 33%
• Sector Development 33%
• Mean Squared Error 33%
• Advanced Machine Learning 33%
• Memory Network 33%
• Energy-efficient Building Design 33%

Engineering

• Term Energy 100%
• Long Short-Term Memory 100%
• Learning System 100%
• Support Vector Machine 100%
• Building Envelope 33%
• Energy Performance 33%
• Ecodesign 33%
• Energy Efficiency 33%
• Energy Usage 33%
• Building Sector 33%
• Construction Sector 33%
• Building Performance Simulation 33%
• Energy-Efficient Building 33%
• Predictive Capability 33%
• Mean-Squared-Error 33%
• Energy Security 33%
• Machine Learning Algorithm 33%
• Machine Learning Technique 33%
• Renewable Energy 33%
• Architectural Design 33%
• Lstm 33%

Chemical Engineering

• Learning System 100%
• Long Short-Term Memory 80%
• Support Vector Machine 60%