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Application of Machine Learning for Energy-Efficient Buildings
Indrasis Chakraborty
,
Aritra Dasgupta
, Javier Rubio-Herrero
, Sai Pushpak Nandanoori
, Soumya Kundu
, Vikas Chandan
Data Science
Informatics
Research output
:
Chapter in Book/Report/Conference proceeding
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Dive into the research topics of 'Application of Machine Learning for Energy-Efficient Buildings'. Together they form a unique fingerprint.
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Keyphrases
Physics-based Model
100%
Energy Consumption
100%
Machine Learning Applications
100%
Recurrent Neural Network
100%
Building Energy Efficiency
100%
Computation Time
66%
Modeling Tools
66%
System Dynamics
66%
Data Availability
66%
Temperature Setpoint
66%
Energy Prediction
66%
Low-dimensional Features
66%
United States
33%
Energy Efficiency
33%
Network Applications
33%
Control System
33%
Cost Efficiency
33%
Predictive Ability
33%
System Building
33%
Weather Conditions
33%
Building Materials
33%
Popular
33%
Data-driven Modeling
33%
Linear Regression
33%
Artificial Neural Network
33%
Deep Learning
33%
Controller
33%
Dynamic Model
33%
Efficient Computation
33%
Air Conditioning
33%
Heat Transfer
33%
Machine Learning System
33%
Modeller
33%
Demand Response
33%
Demand Response Program
33%
Prediction Error
33%
Computing Power
33%
Pooling Layer
33%
Information Technology Use
33%
Grid Services
33%
Consumption Prediction
33%
Temperature Etc
33%
Commercial Buildings
33%
Heating Ventilation
33%
Operational Improvement
33%
Data Preprocessing
33%
Temperature Control System
33%
Energy Terms
33%
Optimal Supervisory Control
33%
Zone Temperature
33%
Multiple Control
33%
Building Operation
33%
Energy Consumed
33%
Material Transfer
33%
Real Building
33%
Business as Usual
33%
Outside Temperature
33%
Gated Recurrent Unit
33%
Deep Network
33%
Control-oriented
33%
Error Accumulation
33%
Building Occupancy
33%
Building Data
33%
Field Deployment
33%
Control Knob
33%
Sustainability Priorities
33%
Proper Solution
33%
Building-to-grid Integration
33%
Building Zone
33%
Precooling
33%
Tensor Train
33%
Building Layout
33%
Control-oriented Model
33%
Control Improvement
33%
Baseline Energy Consumption
33%
Sequential Architecture
33%
Transfer Constant
33%
Solutions of Equation
33%
Data-driven Modeling Technique
33%
Neural Network-based
33%
Control Accuracy
33%
Novel Architecture
33%
Prediction Problem
33%
Support Vector Regression
33%
Prediction Scenario
33%
Complex Mathematical Model
33%
Network Vector
33%
Cost Considerations
33%
Building Heat Emissions
33%
EnergyPlus Modelling
33%
Sequential Deep Neural Network
33%
On-site Renewables
33%
Baseline Energy
33%
Engineering
Energy-Efficient Building
100%
Learning System
100%
Recurrent Neural Network
100%
Computation Time
66%
Systems Dynamics
66%
Control System
66%
Oriented Control
66%
Information Technology
33%
Renewables
33%
Mathematical Modeling
33%
Cost Efficiency
33%
Predictive Ability
33%
Building Material
33%
Learning Technique
33%
Air Conditioning
33%
Conservation of Energy
33%
Supervisory Control
33%
Demand Response Program
33%
Prediction Error
33%
Computing Power
33%
Commercial Building
33%
Term Energy
33%
Data Preprocessing
33%
Set Point Temperature
33%
Prediction Problem
33%
EnergyPlus
33%
Mathematical Model
33%
Deep Learning Method
33%
Deep Neural Network
33%
Artificial Neural Network
33%
Support Vector Machine
33%
Set-Point Temperature Control
33%
Temperature Zone
33%
Building Layout
33%
United States of America
33%
Gated Recurrent Unit
33%
Retrofit Design
33%
Computer Science
Energy Consumption
100%
Energy Efficient
100%
Machine Learning
100%
Learning System
100%
Recurrent Neural Network
75%
Weather Condition
75%
System Dynamics
50%
Use Case
50%
Computation Time
50%
Dimensional Feature
50%
Set Point Temperature
50%
Energy Efficiency
25%
Mathematical Modeling
25%
Building System
25%
Modelers
25%
Deep Neural Network
25%
Neural Network
25%
Deep Learning Technique
25%
Prediction Error
25%
Computing Power
25%
grid service
25%
Needed Information
25%
Support Vector Regression
25%
Data Preprocessing
25%
Underlying System
25%
Data Availability
25%
Gated Recurrent Unit
25%
Information Technology
25%
United States of America
25%
Convolution
25%
Temperature Control
25%
Domain Modeling
25%
Operational Design
25%
Past Measurement
25%
Total Computation
25%
Efficient Computation
25%
Support Vector Machine
25%