Physical energy and data-driven models in building energy prediction: A review

Occupancy data at different spatial resolutions: Building energy performance and model calibration

(2021) Adrian Chong et al.   APPLIED ENERGY

Development, Calibration and Validation of an Internal Air Temperature Model for a Naturally Ventilated Nearly Zero Energy Building: Comparison of Model Types and Calibration Methods

(2021) Michael D. Murphy et al.   Energies

Grey-box modeling and application for building energy simulations - A critical review

(2021) Yanfei Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review on building energy model calibration by Bayesian inference

(2021) D. Hou et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A novel short-term load forecasting framework based on time-series clustering and early classification algorithm

(2021) Zhe Chen et al.   ENERGY AND BUILDINGS

A hybrid model for building energy consumption forecasting using long short term memory networks

(2020) Nivethitha Somu et al.   APPLIED ENERGY

Statistical investigations of transfer learning-based methodology for short-term building energy predictions

(2020) Cheng Fan et al.   APPLIED ENERGY

Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest

(2020) Feifei He et al.   APPLIED ENERGY

A novel improved model for building energy consumption prediction based on model integration

(2020) Ran Wang et al.   APPLIED ENERGY

Machine-learning based hybrid demand-side controller for high-rise office buildings with high energy flexibilities

(2020) Yuekuan Zhou et al.   APPLIED ENERGY

Building thermal load prediction through shallow machine learning and deep learning

(2020) Zhe Wang et al.   APPLIED ENERGY

EnergyPlus, IDA ICE and TRNSYS predictive simulation accuracy for building thermal behaviour evaluation by using an experimental campaign in solar test boxes with and without a PCM module

(2020) Domenico Mazzeo et al.   ENERGY AND BUILDINGS

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

(2020) Tanveer Ahmad et al.   Sustainable Cities and Society

Accurate forecasting of building energy consumption via a novel ensembled deep learning method considering the cyclic feature

(2020) Guiqing Zhang et al.   ENERGY

A novel electrical net-load forecasting model based on deep neural networks and wavelet transform integration

(2020) Mohammadali Alipour et al.   ENERGY

Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower

(2020) Hongfang Lu et al.   ENERGY

A review of the-state-of-the-art in data-driven approaches for building energy prediction

(2020) Ying Sun et al.   ENERGY AND BUILDINGS

A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine

(2020) Che Liu et al.   APPLIED ENERGY

Dynamic modelling of an ultra high temperature PCM with combined heat and electricity production for application at residential buildings

(2020) Ι. Violidakis et al.   ENERGY AND BUILDINGS

Deep learning and transfer learning models of energy consumption forecasting for a building with poor information data

(2020) Yuan Gao et al.   ENERGY AND BUILDINGS

Short-term metropolitan-scale electric load forecasting based on load decomposition and ensemble algorithms

(2020) Yiyi Chu et al.   ENERGY AND BUILDINGS

A systematic review of deep transfer learning for machinery fault diagnosis

(2020) Chuan Li et al.   NEUROCOMPUTING

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings

(2020) X.J. Luo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Few-shot transfer learning for intelligent fault diagnosis of machine

(2020) Jingyao Wu et al.   MEASUREMENT

Sequential grid approach based support vector regression for short-term electric load forecasting

(2019) Youlong Yang et al.   APPLIED ENERGY

Fast and accurate district heating and cooling energy demand and load calculations using reduced-order modelling

(2019) Eui-Jong Kim et al.   APPLIED ENERGY

Prediction of occupancy level and energy consumption in office building using blind system identification and neural networks

(2019) Yixuan Wei et al.   APPLIED ENERGY

A case-centered behavior analysis and operation prediction of AC use in residential buildings

(2019) Sun-Hye Mun et al.   ENERGY AND BUILDINGS

Tuning machine learning models for prediction of building energy loads

(2019) Saleh Seyedzadeh et al.   Sustainable Cities and Society

Brain tumor classification for MR images using transfer learning and fine-tuning

(2019) Zar Nawab Khan Swati et al.   COMPUTERIZED MEDICAL IMAGING AND GRAPHICS

An efficient data model for energy prediction using wireless sensors

(2019) Michel Chammas et al.   COMPUTERS & ELECTRICAL ENGINEERING

Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands

(2019) X.J. Luo et al.   ADVANCED ENGINEERING INFORMATICS

Predicting plug loads with occupant count data through a deep learning approach

(2019) Zhe Wang et al.   ENERGY

Multi-criteria comprehensive study on predictive algorithm of hourly heating energy consumption for residential buildings

(2019) Ran Wang et al.   Sustainable Cities and Society

A review on use of TRNSYS as simulation tool in performance prediction of desiccant cooling cycle

(2019) D. B. Jani et al.   JOURNAL OF THERMAL ANALYSIS AND CALORIMETRY

Quantification of electricity flexibility in demand response: Office building case study

(2019) Yongbao Chen et al.   ENERGY

Potential analysis of the transfer learning model in short and medium-term forecasting of building HVAC energy consumption

(2019) Fanyue Qian et al.   ENERGY

Machine learning-based thermal response time ahead energy demand prediction for building heating systems

(2018) Yabin Guo et al.   APPLIED ENERGY

Evaluation of the causes and impact of outliers on residential building energy use prediction using inverse modeling

(2018) Huyen Do et al.   BUILDING AND ENVIRONMENT

Smart grid load forecasting using online support vector regression

(2018) Petra Vrablecová et al.   COMPUTERS & ELECTRICAL ENGINEERING

Validation of dynamic building energy simulation tools based on a real test-box with thermally activated building systems (TABS)

(2018) P. Nageler et al.   ENERGY AND BUILDINGS

Activity-aware HVAC power demand forecasting

(2018) Enric Sala-Cardoso et al.   ENERGY AND BUILDINGS

Transfer learning with seasonal and trend adjustment for cross-building energy forecasting

(2018) Mauro Ribeiro et al.   ENERGY AND BUILDINGS

Model input selection for building heating load prediction: A case study for an office building in Tianjin

(2018) Yan Ding et al.   ENERGY AND BUILDINGS

A Novel Method Based on Extreme Learning Machine to Predict Heating and Cooling Load through Design and Structural Attributes

(2018) Sachin Kumar et al.   ENERGY AND BUILDINGS

A review of data-driven building energy consumption prediction studies

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

Measures to improve energy demand flexibility in buildings for demand response (DR): A review

(2018) Yongbao Chen et al.   ENERGY AND BUILDINGS

Hybrid Short-Term Load Forecasting Scheme Using Random Forest and Multilayer Perceptron

(2018) Jihoon Moon et al.   Energies

A systematic feature selection procedure for short-term data-driven building energy forecasting model development

(2018) Liang Zhang et al.   ENERGY AND BUILDINGS

Development and validation of an HVAC on/off controller in EnergyPlus for energy simulation of residential and small commercial buildings

(2018) Kristen S Cetin et al.   ENERGY AND BUILDINGS

Nonlinear autoregressive and random forest approaches to forecasting electricity load for utility energy management systems

(2018) Tanveer Ahmad et al.   Sustainable Cities and Society

Day-ahead thermal and renewable power generation scheduling considering uncertainty

(2018) Surender Reddy Salkuti   RENEWABLE ENERGY

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption

(2017) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

(2017) Zeyu Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data

(2016) Ying Ji et al.   APPLIED ENERGY

A hybrid model approach for forecasting future residential electricity consumption

(2016) Bing Dong et al.   ENERGY AND BUILDINGS

A review on modeling and simulation of building energy systems

(2016) V.S.K.V. Harish et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Developing a physical BIM library for building thermal energy simulation

(2015) Jong Bum Kim et al.   AUTOMATION IN CONSTRUCTION

Analysis of energy efficiency retrofit scheme for hotel buildings using eQuest software: A case study from Tianjin, China

(2015) Jincheng Xing et al.   ENERGY AND BUILDINGS

An introduction of new features for conventional and hybrid GSHP simulations in eQUEST 3.7

(2015) Shaojie Wang 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

Development of prediction models for next-day building energy consumption and peak power demand using data mining techniques

(2014) Cheng Fan et al.   APPLIED ENERGY

A prediction model based on neural networks for the energy consumption of a bioclimatic building

(2014) R. Mena et al.   ENERGY AND BUILDINGS

Analysis of building energy consumption parameters and energy savings measurement and verification by applying eQUEST software

(2013) Ming-Tsun Ke et al.   ENERGY AND BUILDINGS

State of the art in building modelling and energy performances prediction: A review

(2013) Aurélie Foucquier et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Investigating communication and step-size behaviour for co-simulation of hybrid physical systems

(2013) Irene Hafner et al.   Journal of Computational Science

Decomposition and statistical analysis for regional electricity demand forecasting

(2012) Chi-hsiang Wang et al.   ENERGY

The use of occupancy space electrical power demand in building cooling load prediction

(2012) M.C. Leung et al.   ENERGY AND BUILDINGS

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

(2012) Athanasios Tsanas et al.   ENERGY AND BUILDINGS

The impact of place-based affiliation networks on energy conservation: An holistic model that integrates the influence of buildings, residents and the neighborhood context

(2012) Xiaoqi Xu et al.   ENERGY AND BUILDINGS

Geothermal heat pump in heating mode: Modeling and simulation on TRNSYS

(2012) R. Chargui et al.   INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID

Automatic generation of energy conservation measures in buildings using genetic algorithms

(2011) V. Siddharth et al.   ENERGY AND BUILDINGS

Assessment of natural and hybrid ventilation models in whole-building energy simulations

(2011) Zhiqiang (John) Zhai et al.   ENERGY AND BUILDINGS

Experimental results and simulation with TRNSYS of a 7.2kWp grid-connected photovoltaic system

(2010) B. Quesada et al.   APPLIED ENERGY

Genetic-algorithm based approach to optimize building envelope design for residential buildings

(2010) Daniel Tuhus-Dubrow et al.   BUILDING AND ENVIRONMENT

Methodology to estimate building energy consumption using EnergyPlus Benchmark Models

(2010) Nelson Fumo et al.   ENERGY AND BUILDINGS

Applying support vector machine to predict hourly cooling load in the building

(2009) Qiong Li et al.   APPLIED ENERGY

A data-driven approach for steam load prediction in buildings

(2009) Andrew Kusiak et al.   APPLIED ENERGY

Overview of HVAC system simulation

(2009) Marija Trčka et al.   AUTOMATION IN CONSTRUCTION

Multiobjective optimization of building design using TRNSYS simulations, genetic algorithm, and Artificial Neural Network

(2009) Laurent Magnier et al.   BUILDING AND ENVIRONMENT

Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption

(2008) Alberto Hernandez Neto et al.   ENERGY AND BUILDINGS