Heat Loss Coefficient Estimation Applied to Existing Buildings through Machine Learning Models

Remote Sensing of Time-Varying Tidal Flat Topography, Jiangsu Coast, China, Based on the Waterline Method and an Artificial Neural Network Model

(2020) Yanyan Kang et al.   Applied Sciences-Basel

A performance comparison of multi-objective optimization-based approaches for calibrating white-box building energy models

(2020) Sandra Martínez et al.   ENERGY AND BUILDINGS

Assessment of building energy modelling studies to meet the requirements of the new Energy Performance of Buildings Directive

(2020) Damien Gatt et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Degradation State Recognition of Piston Pump Based on ICEEMDAN and XGBoost

(2020) Rui Guo et al.   Applied Sciences-Basel

A Review of the Artificial Neural Network Models for Water Quality Prediction

(2020) Yingyi Chen et al.   Applied Sciences-Basel

Prediction of Building’s Thermal Performance Using LSTM and MLP Neural Networks

(2020) Miguel Martínez Comesaña et al.   Applied Sciences-Basel

Vector field-based support vector regression for building energy consumption prediction

(2019) Hai Zhong et al.   APPLIED ENERGY

Mathematical development of an average method for estimating the reduction of the Heat Loss Coefficient of an energetically retrofitted occupied office building

(2019) Irati Uriarte et al.   ENERGY AND BUILDINGS

Definitions, methods, and applications in interpretable machine learning

(2019) W. James Murdoch et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Evaluating explorative prediction power of machine learning algorithms for materials discovery using k-fold forward cross-validation

(2019) Zheng Xiong et al.   COMPUTATIONAL MATERIALS SCIENCE

Developing window behavior models for residential buildings using XGBoost algorithm

(2019) Hao Mo et al.   ENERGY AND BUILDINGS

Smart grid load forecasting using online support vector regression

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

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

(2018) Ping-Huan Kuo et al.   Energies

Gradient boosting machine for modeling the energy consumption of commercial buildings

(2018) Samir Touzani et al.   ENERGY AND BUILDINGS

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

A Stochastic Computational Multi-Layer Perceptron with Backward Propagation

(2018) Yidong Liu et al.   IEEE TRANSACTIONS ON COMPUTERS

Multilayer Perceptron Neural Network for Surface Water Extraction in Landsat 8 OLI Satellite Images

(2018) Wei Jiang et al.   Remote Sensing

Enhanced Prediction of Hot Spots at Protein-Protein Interfaces Using Extreme Gradient Boosting

(2018) Hao Wang et al.   Scientific Reports

A Novel Health Factor to Predict the Battery’s State-of-Health Using a Support Vector Machine Approach

(2018) Kai Huang et al.   Applied Sciences-Basel

A comparison of deep networks with ReLU activation function and linear spline-type methods

(2018) Konstantin Eckle et al.   NEURAL NETWORKS

A novel artificial intelligence approach based on Multi-layer Perceptron Neural Network and Biogeography-based Optimization for predicting coefficient of consolidation of soil

(2018) Binh Thai Pham et al.   CATENA

Validation of Calibrated Energy Models: Common Errors

(2017) Germán Ruiz et al.   Energies

Improving transient thermal simulations of single dwellings using interpolated weather data

(2017) Pablo Eguía Oller et al.   ENERGY AND BUILDINGS

Development of a new multi-stage building energy model calibration methodology and validation in a public library

(2017) Antón Cacabelos et al.   ENERGY AND BUILDINGS

IEA EBC Annex 66: Definition and simulation of occupant behavior in buildings

(2017) Da Yan et al.   ENERGY AND BUILDINGS

Sensitivity analysis of a vertical geothermal heat exchanger dynamic simulation: Calibration and error determination

(2017) Marta Fernández et al.   GEOTHERMICS

Direct Remaining Useful Life Estimation Based on Support Vector Regression

(2017) Racha Khelif et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model

(2017) Zulifqar Ali et al.   Advances in Meteorology

Heat transfer and MLP neural network models to predict inside environment variables and energy lost in a semi-solar greenhouse

(2016) Morteza Taki 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

Bioactive Molecule Prediction Using Extreme Gradient Boosting

(2016) Ismail Babajide Mustapha et al.   MOLECULES

Modeling and forecasting energy consumption for heterogeneous buildings using a physical–statistical approach

(2015) Xiaoshu Lü et al.   APPLIED ENERGY

Calibrated simulation of a public library HVAC system with a ground-source heat pump and a radiant floor using TRNSYS and GenOpt

(2015) Antón Cacabelos et al.   ENERGY AND BUILDINGS

Prediction of tension properties of cork from its physical properties using neural networks

(2015) Carla Iglesias et al.   European Journal of Wood and Wood Products

Neural networks applied to discriminate botanical origin of honeys

(2015) Ofélia Anjos et al.   FOOD CHEMISTRY

The gap between predicted and measured energy performance of buildings: A framework for investigation

(2014) Pieter de Wilde   AUTOMATION IN CONSTRUCTION

Review of building energy modeling for control and operation

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

Review on Methods to Fix Number of Hidden Neurons in Neural Networks

(2013) K. Gnana Sheela et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Support vector regression with chaos-based firefly algorithm for stock market price forecasting

(2012) Ahmad Kazem et al.   APPLIED SOFT COMPUTING

Using artificial neural network models in stock market index prediction

(2011) Erkam Guresen et al.   EXPERT SYSTEMS WITH APPLICATIONS

A data-driven approach for steam load prediction in buildings

(2009) Andrew Kusiak et al.   APPLIED ENERGY

Theoretical analysis of batch and on-line training for gradient descent learning in neural networks

(2009) Takéhiko Nakama   NEUROCOMPUTING