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Estimating Home Heating and Cooling Energy Use from Monthly Utility Data
Sai Santosh Yakkali
,
Yanxiao Feng
, Xi Chen
, Zhaoji Chen
, Julian Wang
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
Overview
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Dive into the research topics of 'Estimating Home Heating and Cooling Energy Use from Monthly Utility Data'. Together they form a unique fingerprint.
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Keyphrases
Energy Use
100%
Utility Data
100%
Heating Energy Use
100%
Cooling Energy Consumption
100%
Home Heating
100%
Air Conditioning
71%
Home Energy
42%
Energy Efficiency Improvement
28%
Overall Energy
28%
Homeowners
28%
Device Level
28%
Polynomial Regression Model
28%
Power Level
14%
User Input
14%
Data Mining Techniques
14%
Weather Data
14%
Cooling Energy
14%
Equipment Upgrade
14%
Building Retrofit
14%
Building Energy Efficiency
14%
Feedback Intervention
14%
R2 Value
14%
Level Energies
14%
Central Powers
14%
Total Energy Consumption
14%
Energy Feedback
14%
Pecan
14%
Heating Energy
14%
Energy Consumption Prediction
14%
Total Energy Use
14%
Cooling Equipment
14%
Improvement Action
14%
Heating Equipment
14%
Multivariate Polynomial Regression
14%
Engineering
Air Conditioning
100%
Home Heating
100%
Conditioning Energy
75%
Heating Energy
50%
Power Level
25%
Energy Conservation
25%
Energy Efficiency
25%
Energy Usage
25%
Input Data
25%
Air Conditioning System
25%
Level Energy
25%
Data-Mining Technique
25%
Building Energy Efficiency
25%
Building Retrofit
25%