A review of machine learning in building load prediction

A novel reinforcement learning method for improving occupant comfort via window opening and closing

(2020) Mengjie Han et al.   Sustainable Cities and Society

A systematic feature extraction and selection framework for data-driven whole-building automated fault detection and diagnostics in commercial buildings

(2020) Liang Zhang et al.   BUILDING AND ENVIRONMENT

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Using machine learning techniques for occupancy-prediction-based cooling control in office buildings

(2018) Yuzhen Peng et al.   APPLIED ENERGY

Activity-aware HVAC power demand forecasting

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

Short and medium-term forecasting of cooling and heating load demand in building environment with data-mining based approaches

(2018) Tanveer Ahmad 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

Efficient IoT-based sensor BIG Data collection–processing and analysis in smart buildings

(2018) Andreas P. Plageras et al.   Future Generation Computer Systems-The International Journal of eScience

Building energy consumption forecast using multi-objective genetic programming

(2018) Amirhessam Tahmassebi et al.   MEASUREMENT

A review of data-driven building energy consumption prediction studies

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

Advanced Wireless Sensor Networks for Sustainable Buildings Using Building Ducts

(2018) Heekwon Yang et al.   Sustainability

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

(2018) Liang Zhang et al.   ENERGY AND BUILDINGS

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

Comparison of linear regression and artificial neural networks models to predict heating and cooling energy demand, energy consumption and CO 2 emissions

(2017) Rafael Pino-Mejías et al.   ENERGY

Electricity load forecasting by an improved forecast engine for building level consumers

(2017) Yang Liu et al.   ENERGY

Non-intrusive occupancy sensing in commercial buildings

(2017) Han Zou et al.   ENERGY AND BUILDINGS

k-Shape clustering algorithm for building energy usage patterns analysis and forecasting model accuracy improvement

(2017) Junjing Yang et al.   ENERGY AND BUILDINGS

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

Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks

(2017) Henrique Pombeiro et al.   ENERGY AND BUILDINGS

Small-Scale Building Load Forecast based on Hybrid Forecast Engine

(2017) Mohsen Mohammadi et al.   NEURAL PROCESSING LETTERS

A review and analysis of regression and machine learning models on commercial building electricity load forecasting

(2017) B. Yildiz et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data science for building energy management: A review

(2017) Miguel Molina-Solana et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review

(2017) Mohammad Azhar Mat Daut et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on time series forecasting techniques for building energy consumption

(2017) Chirag Deb et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review of fault detection and diagnostics methods for building systems

(2017) Woohyun Kim et al.   Science and Technology for the Built Environment

Electrical load forecasting models: A critical systematic review

(2017) Corentin Kuster et al.   Sustainable Cities and Society

Development of a probabilistic graphical model for predicting building energy performance

(2016) Zheng O’Neill et al.   APPLIED ENERGY

Time series analytics using sliding window metaheuristic optimization-based machine learning system for identifying building energy consumption patterns

(2016) Jui-Sheng Chou et al.   APPLIED ENERGY

Short-term building energy model recommendation system: A meta-learning approach

(2016) Can Cui et al.   APPLIED ENERGY

Building automation systems: Concepts and technology review

(2016) Pedro Domingues et al.   COMPUTER STANDARDS & INTERFACES

An Application of Non-Linear Autoregressive Neural Networks to Predict Energy Consumption in Public Buildings

(2016) Luis Ruiz et al.   Energies

Simplified dynamic neural network model to predict heating load of a building using Taguchi method

(2016) S. Sholahudin et al.   ENERGY

Review of occupancy sensing systems and occupancy modeling methodologies for the application in institutional buildings

(2016) Junjing Yang et al.   ENERGY AND BUILDINGS

Unsupervised energy prediction in a Smart Grid context using reinforcement cross-building transfer learning

(2016) Elena Mocanu et al.   ENERGY AND BUILDINGS

Building energy metering and environmental monitoring – A state-of-the-art review and directions for future research

(2016) Muhammad Waseem Ahmad et al.   ENERGY AND BUILDINGS

Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings

(2016) Young Tae Chae et al.   ENERGY AND BUILDINGS

Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique

(2016) Fan Zhang et al.   ENERGY AND BUILDINGS

Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression

(2016) Guo-Feng Fan et al.   NEUROCOMPUTING

Big data driven smart energy management: From big data to big insights

(2016) Kaile Zhou et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Commercial building cooling energy forecasting using proactive system identification: A whole building experiment study

(2016) Xiwang Li et al.   Science and Technology for the Built Environment

Big-data for building energy performance: Lessons from assembling a very large national database of building energy use

(2015) Paul A. Mathew et al.   APPLIED ENERGY

A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting

(2015) Yanhua Chen et al.   APPLIED MATHEMATICAL MODELLING

A new linguistic out-sample approach of fuzzy time series for daily forecasting of Malaysian electricity load demand

(2015) Riswan Efendi et al.   APPLIED SOFT COMPUTING

Virtual occupancy sensors for real-time occupancy information in buildings

(2015) Yang Zhao et al.   BUILDING AND ENVIRONMENT

Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques

(2015) Sergio Jurado et al.   ENERGY

A hybrid short-term load forecasting with a new input selection framework

(2015) M. Ghofrani et al.   ENERGY

Ensemble of various neural networks for prediction of heating energy consumption

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

Short-term load forecasting in a non-residential building contrasting models and attributes

(2015) Joaquim Massana et al.   ENERGY AND BUILDINGS

Short-term electricity load forecasting of buildings in microgrids

(2015) Hamed Chitsaz 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

Household Electricity Demand Forecast Based on Context Information and User Daily Schedule Analysis From Meter Data

(2015) Yu-Hsiang Hsiao   IEEE Transactions on Industrial Informatics

Short term load forecasting using wavelet transform combined with Holt–Winters and weighted nearest neighbor models

(2015) G. Sudheer et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Short term load forecast using fuzzy logic and wavelet transform integrated generalized neural network

(2015) D.K. Chaturvedi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Regression analysis for prediction of residential energy consumption

(2015) Nelson Fumo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

A Review of Wireless-Sensor-Network-Enabled Building Energy Management Systems

(2014) Aqeel H. Kazmi et al.   ACM Transactions on Sensor Networks

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

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

Using regression analysis to predict the future energy consumption of a supermarket in the UK

(2014) M.R. Braun et al.   APPLIED ENERGY

Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

(2014) Min-Yuan Cheng et al.   APPLIED SOFT COMPUTING

Heating, cooling, and electrical load forecasting for a large-scale district energy system

(2014) Kody M. Powell et al.   ENERGY

Neural network model ensembles for building-level electricity load forecasts

(2014) Jorjeta G. Jetcheva et al.   ENERGY AND BUILDINGS

Modeling heating and cooling loads by artificial intelligence for energy-efficient building design

(2014) Jui-Sheng Chou et al.   ENERGY AND BUILDINGS

Modeling and short-term prediction of HVAC system with a clustering algorithm

(2014) Fan Tang et al.   ENERGY AND BUILDINGS

Development of an energy prediction tool for commercial buildings using case-based reasoning

(2014) Danielle Monfet et al.   ENERGY AND BUILDINGS

Building energy consumption on-line forecasting using physics based system identification

(2014) Xiwang Li et al.   ENERGY AND BUILDINGS

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

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

Utilizing artificial neural network to predict energy consumption and thermal comfort level: An indoor swimming pool case study

(2014) Baris Yuce et al.   ENERGY AND BUILDINGS

Data mining in building automation system for improving building operational performance

(2014) Fu Xiao et al.   ENERGY AND BUILDINGS

A new hybrid Modified Firefly Algorithm and Support Vector Regression model for accurate Short Term Load Forecasting

(2014) Abdollah Kavousi-Fard et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new short-term load forecast method based on neuro-evolutionary algorithm and chaotic feature selection

(2014) Sajjad Kouhi et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A novel hybrid model for bi-objective short-term electric load forecasting

(2014) JinXing Che   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Platform selection for complex systems: Building automation systems

(2014) Geerten van de Kaa et al.   Journal of Systems Science and Systems Engineering

Optimisation of energy management in commercial buildings with weather forecasting inputs: A review

(2014) Dimitris Lazos et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review of building energy modeling for control and operation

(2014) Xiwang Li et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on applications of ANN and SVM for building electrical energy consumption forecasting

(2014) A.S. Ahmad et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Application of seasonal SVR with chaotic gravitational search algorithm in electricity forecasting

(2013) Fuh-Yuh Ju et al.   APPLIED MATHEMATICAL MODELLING

Baseline building energy modeling and localized uncertainty quantification using Gaussian mixture models

(2013) Abhishek Srivastav et al.   ENERGY AND BUILDINGS

Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model

(2013) Jie Wu et al.   ENERGY CONVERSION AND MANAGEMENT

Imperialist competitive algorithm combined with refined high-order weighted fuzzy time series (RHWFTS–ICA) for short term load forecasting

(2013) Rasul Enayatifar et al.   ENERGY CONVERSION AND MANAGEMENT

A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants

(2013) L. Hernandez et al.   IEEE COMMUNICATIONS MAGAZINE

A Strategy for Short-Term Load Forecasting by Support Vector Regression Machines

(2013) Ervin Ceperic et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Application of a hybrid quantized Elman neural network in short-term load forecasting

(2013) Penghua Li et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A review on the basics of building energy estimation

(2013) Nelson Fumo   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

An annual load forecasting model based on support vector regression with differential evolution algorithm

(2012) Jianjun Wang et al.   APPLIED ENERGY

A new hybrid day-ahead peak load forecasting method for Iran’s National Grid

(2012) M. Moazzami et al.   APPLIED ENERGY

Multivariate regression as an energy assessment tool in early building design

(2012) Janelle S. Hygh et al.   BUILDING AND ENVIRONMENT

Building hourly thermal load prediction using an indexed ARX model

(2012) Kyungtae Yun et al.   ENERGY AND BUILDINGS

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

Predicting future hourly residential electrical consumption: A machine learning case study

(2012) Richard E. Edwards et al.   ENERGY AND BUILDINGS

Assessment of potential energy saving using cluster analysis: A case study of lighting systems in buildings

(2012) Siriwarin Petcharat et al.   ENERGY AND BUILDINGS

Long-term load forecasting by a collaborative fuzzy-neural approach

(2012) Toly Chen et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

A review on the prediction of building energy consumption

(2012) Hai-xiang Zhao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Electric load forecasting by seasonal recurrent SVR (support vector regression) with chaotic artificial bee colony algorithm

(2011) Wei-Chiang Hong   ENERGY

An adaptive fuzzy combination model based on self-organizing map and support vector regression for electric load forecasting

(2011) Jinxing Che et al.   ENERGY

Forecasting building energy consumption using neural networks and hybrid neuro-fuzzy system: A comparative study

(2011) Kangji Li et al.   ENERGY AND BUILDINGS

New artificial neural network prediction method for electrical consumption forecasting based on building end-uses

(2011) Guillermo Escrivá-Escrivá et al.   ENERGY AND BUILDINGS

A systematic procedure to study the influence of occupant behavior on building energy consumption

(2011) Zhun Yu et al.   ENERGY AND BUILDINGS

A study of the importance of occupancy to building cooling load in prediction by intelligent approach

(2011) Simon S.K. Kwok et al.   ENERGY CONVERSION AND MANAGEMENT

Holiday Load Forecasting Using Fuzzy Polynomial Regression With Weather Feature Selection and Adjustment

(2011) Young-Min Wi et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Time series forecasting by evolving artificial neural networks with genetic algorithms, differential evolution and estimation of distribution algorithm

(2011) Juan Peralta Donate et al.   NEURAL COMPUTING & APPLICATIONS

Kernel regression for real-time building energy analysis

(2011) Matthew Brown et al.   Journal of Building Performance Simulation

An integrated fuzzy regression algorithm for energy consumption estimation with non-stationary data: A case study of Iran

(2010) A. Azadeh et al.   ENERGY

A decision tree method for building energy demand modeling

(2010) Zhun Yu et al.   ENERGY AND BUILDINGS

Forecasting building energy consumption with hybrid genetic algorithm-hierarchical adaptive network-based fuzzy inference system

(2010) Kangji Li et al.   ENERGY AND BUILDINGS

Prediction of building energy needs in early stage of design by using ANFIS

(2010) Betul Bektas Ekici et al.   EXPERT SYSTEMS WITH APPLICATIONS

Monthly electricity demand forecasting based on a weighted evolving fuzzy neural network approach

(2010) Pei-Chann Chang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

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

Principal component analysis and long-term building energy simulation correlation

(2009) Joseph C. Lam et al.   ENERGY CONVERSION AND MANAGEMENT

Power load forecasting using support vector machine and ant colony optimization

(2009) Dongxiao Niu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Classification of Energy Consumption in Buildings With Outlier Detection

(2009) Xiaoli Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Short-Term and Midterm Load Forecasting Using a Bilevel Optimization Model

(2009) Huina Mao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Hybrid evolutionary algorithms in a SVR-based electric load forecasting model

(2009) Wei-Chiang Hong   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm

(2009) Cheng-Ming Lee et al.   NEUROCOMPUTING

A data fusion scheme for building automation systems of building central chilling plants

(2008) Gongsheng Huang et al.   AUTOMATION IN CONSTRUCTION

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

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

Chaotic particle swarm optimization algorithm in a support vector regression electric load forecasting model

(2008) Wei-Chiang Hong   ENERGY CONVERSION AND MANAGEMENT

Prediction of energy demands using neural network with model identification by global optimization

(2008) Ryohei Yokoyama et al.   ENERGY CONVERSION AND MANAGEMENT

Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks

(2008) Qiong Li et al.   ENERGY CONVERSION AND MANAGEMENT

Comparison of neural network, conditional demand analysis, and engineering approaches for modeling end-use energy consumption in the residential sector

(2007) Merih Aydinalp-Koksal et al.   APPLIED ENERGY