Evaluating the climate sensitivity of coupled electricity-natural gas demand using a multivariate framework

Keyphrases

• Climate Sensitivity 100%
• Prediction Accuracy 60%
• Energy Sector 40%
• Existing Infrastructure 20%
• Energy Demand 20%
• Interdependence 20%
• Informed Decision-making 20%
• Winter Season 20%
• Summer Season 20%
• Planners 20%
• Energy Minimizing 20%
• Future Climate Change 20%
• Heating Needs 20%
• Projected Climate Change 20%
• Cooling Degree Days 20%
• Utility Company 20%
• Energy Delivery 20%
• Multi-sector 20%
• Initial Design 20%
• Dew Point Temperature 20%
• Univariate Model 20%
• Demand Profile 20%
• Cooling Needs 20%
• Advanced Statistical 20%
• Balanced Energy 20%
• Past Climate Variability 20%
• Energy End-use 20%
• Statistical Learning Algorithms 20%

Engineering

• Natural Gas 100%
• Accurate Prediction 40%
• Demand Profile 40%
• Learning Algorithm 20%
• Climate Change 20%
• Dew Point 20%
• Initial Design 20%
• Point Temperature 20%
• Interdependence 20%
• Cooling Degree Day 20%

Chemical Engineering

• Natural Gas Demand 100%