Estimating the Heating Load of Buildings for Smart City Planning Using a Novel Artificial Intelligence Technique PSO-XGBoost

Prediction of Blast-Induced Ground Vibration in an Open-Pit Mine by a Novel Hybrid Model Based on Clustering and Artificial Neural Network

(2019) Hoang Nguyen et al.   Natural Resources Research

Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques

(2019) Xuan-Nam Bui et al.   Natural Resources Research

Developing a predictive method based on optimized M5Rules–GA predicting heating load of an energy-efficient building system

(2019) Xuan-Nam Bui et al.   ENGINEERING WITH COMPUTERS

Prediction of ultimate bearing capacity through various novel evolutionary and neural network models

(2019) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Application of PSO–ANN modelling for predicting the exergetic performance of a building integrated photovoltaic/thermal system

(2019) Jalal Alsarraf et al.   ENGINEERING WITH COMPUTERS

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

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

Developing an XGBoost model to predict blast-induced peak particle velocity in an open-pit mine: a case study

(2019) Hoang Nguyen et al.   Acta Geophysica

A comparison of advanced computational models and experimental techniques in predicting blast-induced ground vibration in open-pit coal mine

(2019) Hoang Nguyen et al.   Acta Geophysica

A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms

(2019) Hoang Nguyen et al.   APPLIED SOFT COMPUTING

Optimizing ANN models with PSO for predicting short building seismic response

(2019) Hoang Nguyen et al.   ENGINEERING WITH COMPUTERS

Deterministic and Probabilistic Wind Power Forecasting Based on Bi-Level Convolutional Neural Network and Particle Swarm Optimization

(2019) Yang et al.   Applied Sciences-Basel

Assessment of the Potential of High-Performance Buildings to Achieve Zero Energy: A Case Study

(2019) Dan Wang et al.   Applied Sciences-Basel

Spatiotemporal Modeling of the Smart City Residents’ Activity with Multi-Agent Systems

(2019) Robert Olszewski et al.   Applied Sciences-Basel

Feasibility of Stochastic Gradient Boosting Approach for Evaluating Seismic Liquefaction Potential Based on SPT and CPT Case Histories

(2019) Jian Zhou et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods

(2018) Hossein Moayedi et al.   APPLIED SOFT COMPUTING

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

Optimal scheduling of heating and power hubs under economic and environment issues in the presence of peak load management

(2018) Sayyad Nojavan et al.   ENERGY CONVERSION AND MANAGEMENT

Modification of landslide susceptibility mapping using optimized PSO-ANN technique

(2018) Hossein Moayedi et al.   ENGINEERING WITH COMPUTERS

Design and Implementation of an IoT-Oriented Energy Management System Based on Non-Intrusive and Self-Organizing Neuro-Fuzzy Classification as an Electrical Energy Audit in Smart Homes

(2018) Yu-Hsiu Lin   Applied Sciences-Basel

Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest

(2018) Hoang Nguyen et al.   Natural Resources Research

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

Inverse blackbox modeling of the heating and cooling load in office buildings

(2017) Burak Gunay 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

Feasibility of Random-Forest Approach for Prediction of Ground Settlements Induced by the Construction of a Shield-Driven Tunnel

(2017) Jian Zhou et al.   International Journal of Geomechanics

Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm

(2016) Eiman Tamah Al-Shammari et al.   ENERGY

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

(2016) S. Sholahudin et al.   ENERGY

Extreme learning machine for prediction of heat load in district heating systems

(2016) Shahin Sajjadi et al.   ENERGY AND BUILDINGS

Forecasting blast-induced ground vibration developing a CART model

(2016) Mahdi Hasanipanah et al.   ENGINEERING WITH COMPUTERS

Classification and regression tree technique in estimating peak particle velocity caused by blasting

(2016) Manoj Khandelwal et al.   ENGINEERING WITH COMPUTERS

Intelligent system for lighting control in smart cities

(2016) Juan F. De Paz et al.   INFORMATION SCIENCES

Appraisal of soft computing methods for short term consumers' heat load prediction in district heating systems

(2015) Milan Protić et al.   ENERGY

Ensemble of various neural networks for prediction of heating energy consumption

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

Prediction of seismic slope stability through combination of particle swarm optimization and neural network

(2015) Behrouz Gordan et al.   ENGINEERING WITH COMPUTERS

Improving the energy performance of residential buildings: A literature review

(2015) L. De Boeck et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Shallow and Deep-Seated Landslide Differentiation Using Support Vector Machines: A Case Study of the Chuetsu Area, Japan

(2015) Jie Dou et al.   TERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCES

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

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

Global sensitivity analysis with dependence measures

(2014) Sebastien Da Veiga   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Blasting-induced flyrock and ground vibration prediction through an expert artificial neural network based on particle swarm optimization

(2013) D. Jahed Armaghani et al.   Arabian Journal of Geosciences

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

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

(2012) Athanasios Tsanas et al.   ENERGY AND BUILDINGS

A review on the prediction of building energy consumption

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

Long-term prediction model of rockburst in underground openings using heuristic algorithms and support vector machines

(2011) Jian Zhou et al.   SAFETY SCIENCE

A decision tree method for building energy demand modeling

(2010) Zhun Yu et al.   ENERGY AND BUILDINGS

Influence of raised floor on zone design cooling load in commercial buildings

(2010) Stefano Schiavon et al.   ENERGY AND BUILDINGS

Analysis of annual heating and cooling energy requirements for office buildings in different climates in Turkey

(2007) Nurdil Eskin et al.   ENERGY AND BUILDINGS