Machine learning for occupant-behavior-sensitive cooling energy consumption prediction in office buildings

A novel ensemble learning approach to support building energy use prediction

(2018) Zeyu Wang et al.   ENERGY AND BUILDINGS

A review of data-driven approaches for prediction and classification of building energy consumption

(2018) Yixuan Wei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of data-driven building energy consumption prediction studies

(2018) Kadir Amasyali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach

(2017) Fabrizio Ascione et al.   ENERGY

Estimation and projection of institutional building electricity consumption

(2017) Binita KC et al.   ENERGY AND BUILDINGS

A framework for quantifying the impact of occupant behavior on energy savings of energy conservation measures

(2017) Kaiyu Sun et al.   ENERGY AND BUILDINGS

A study of the impact of occupant behaviors on energy performance of building envelopes using occupants’ data

(2017) Fatemeh Yousefi et al.   ENERGY AND BUILDINGS

A simulation approach to estimate energy savings potential of occupant behavior measures

(2017) Kaiyu Sun et al.   ENERGY AND BUILDINGS

Occupant behavior models: A critical review of implementation and representation approaches in building performance simulation programs

(2017) Tianzhen Hong et al.   Building Simulation

Building energy performance prediction using neural networks

(2017) Andreas Chari et al.   Energy Efficiency

Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks

(2016) Chirag Deb et al.   ENERGY AND BUILDINGS

Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes

(2016) Joaquim Massana et al.   ENERGY AND BUILDINGS

Advances in research and applications of energy-related occupant behavior in buildings

(2016) Tianzhen Hong et al.   ENERGY AND BUILDINGS

An occupant behavior modeling tool for co-simulation

(2016) Tianzhen Hong et al.   ENERGY AND BUILDINGS

Artificial Intelligent Models for Improved Prediction of Residential Space Heating

(2016) Zeyu Wang et al.   JOURNAL OF ENERGY ENGINEERING

Artificial Intelligent Models for Improved Prediction of Residential Space Heating

(2016) Zeyu Wang et al.   JOURNAL OF ENERGY ENGINEERING

Comparisons of inverse modeling approaches for predicting building energy performance

(2015) Yuna Zhang et al.   BUILDING AND ENVIRONMENT

Ensemble of various neural networks for prediction of heating energy consumption

(2015) Radiša Ž. Jovanović et al.   ENERGY AND BUILDINGS

Window operation and impacts on building energy consumption

(2015) Liping Wang et al.   ENERGY AND BUILDINGS

Hourly prediction of a building's electricity consumption using case-based reasoning, artificial neural networks and principal component analysis

(2015) Radu Platon et al.   ENERGY AND BUILDINGS

Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis

(2015) Kangji Li et al.   ENERGY AND BUILDINGS

Energy performance and comfort in residential buildings: Sensitivity for building parameters and occupancy

(2015) A. Ioannou et al.   ENERGY AND BUILDINGS

Day-ahead load forecast using random forest and expert input selection

(2015) A. Lahouar et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy

(2014) Rishee K. Jain et al.   APPLIED ENERGY

Improved benchmarking comparability for energy consumption in schools

(2013) Sung-Min Hong et al.   BUILDING RESEARCH AND INFORMATION

Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network

(2013) Subodh Paudel et al.   ENERGY AND BUILDINGS

Demonstrating the Impact of the Occupant on Building Performance

(2013) Caroline M. Clevenger et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Using multi-output feedforward neural network with empirical mode decomposition based signal filtering for electricity demand forecasting

(2012) Ning An et al.   ENERGY

Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools

(2012) Athanasios Tsanas et al.   ENERGY AND BUILDINGS

A decision tree method for building energy demand modeling

(2010) Zhun Yu et al.   ENERGY AND BUILDINGS

Prediction of building energy consumption by using artificial neural networks

(2008) Betul Bektas Ekici et al.   ADVANCES IN ENGINEERING SOFTWARE