A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine

Resource optimization model using novel extreme learning machine with t-distributed stochastic neighbor embedding: Application to complex industrial processes

(2021) Yongming Han et al.   ENERGY

Large group activity security risk assessment and risk early warning based on random forest algorithm

(2021) Yanyu Chen et al.   PATTERN RECOGNITION LETTERS

Predicting the condensate viscosity near the wellbore by ELM and ANFIS-PSO strategies

(2021) Fatemeh Mousazadeh et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An urban short-term traffic flow prediction model based on wavelet neural network with improved whale optimization algorithm

(2021) Wangdi Du et al.   Sustainable Cities and Society

Predictive model of cooling load for ice storage air-conditioning system by using GBDT

(2021) Wanhu Zhang et al.   Energy Reports

Application of variational mode decomposition optimized with improved whale optimization algorithm in bearing failure diagnosis

(2021) Hailun Wang et al.   Alexandria Engineering Journal

Employing artificial bee colony and particle swarm techniques for optimizing a neural network in prediction of heating and cooling loads of residential buildings

(2020) Guofeng Zhou et al.   JOURNAL OF CLEANER PRODUCTION

A generic prediction interval estimation method for quantifying the uncertainties in ultra-short-term building cooling load prediction

(2020) Chaobo Zhang et al.   APPLIED THERMAL ENGINEERING

Energy analysis and resources optimization of complex chemical processes: Evidence based on novel DEA cross-model

(2020) Yongming Han et al.   ENERGY

Random forests for global sensitivity analysis: A selective review

(2020) Anestis Antoniadis et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Risk prediction and early warning for air traffic controllers’ unsafe acts using association rule mining and random forest

(2020) Ruihua Xu et al.   SAFETY SCIENCE

Predicting non-deposition sediment transport in sewer pipes using Random forest

(2020) Carlos Montes et al.   WATER RESEARCH

Human-in-the-loop HVAC operations: A quantitative review on occupancy, comfort, and energy-efficiency dimensions

(2019) Wooyoung Jung et al.   APPLIED ENERGY

Short-term forecast model of cooling load using load component disaggregation

(2019) Xinyi Lin et al.   APPLIED THERMAL ENGINEERING

Artificial intelligence-based fault detection and diagnosis methods for building energy systems: Advantages, challenges and the future

(2019) Yang Zhao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modeling and forecasting building energy consumption: A review of data-driven techniques

(2019) Mathieu Bourdeau et al.   Sustainable Cities and Society

An artificial neural network (ANN) expert system enhanced with the electromagnetism-based firefly algorithm (EFA) for predicting the energy consumption in buildings

(2019) Dac-Khuong Bui et al.   ENERGY

Energy optimization and prediction modeling of petrochemical industries: An improved convolutional neural network based on cross-feature

(2019) Zhiqiang Geng et al.   ENERGY

Design of a Novel Voltage Controller for Conversion of Carbon Dioxide into Clean Fuels Using the Integration of a Vanadium Redox Battery with Solar Energy

(2018) Ting-Chia Ou   Energies

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 hybrid method of dynamic cooling and heating load forecasting for office buildings based on artificial intelligence and regression analysis

(2018) Jing Zhao et al.   ENERGY AND BUILDINGS

Distributed parallel cooperative coevolutionary multi-objective large-scale immune algorithm for deployment of wireless sensor networks

(2018) Bin Cao et al.   Future Generation Computer Systems-The International Journal of eScience

A review of data-driven building energy consumption prediction studies

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

A Multiagent-Based Hierarchical Energy Management Strategy for Multi-Microgrids Considering Adjustable Power and Demand Response

(2018) Van-Hai Bui et al.   IEEE Transactions on Smart Grid

Early predicting cooling loads for energy-efficient design in office buildings by machine learning

(2018) Ngoc-Tri Ngo   ENERGY AND BUILDINGS

Improvement of Transient Stability in a Hybrid Power Multi-System Using a Designed NIDC (Novel Intelligent Damping Controller)

(2017) Ting-Chia Ou et al.   Energies

Optimal Operation of Microgrids Considering Auto-Configuration Function Using Multiagent System

(2017) Van-Hai Bui et al.   Energies

Field validation study of a time and temperature indexed autoregressive with exogenous (ARX) model for building thermal load prediction

(2017) Riasat Sarwar et al.   ENERGY

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

(2017) Burak Gunay 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

A Bayesian Network model for predicting cooling load of commercial buildings

(2017) Sen Huang et al.   Building Simulation

Residential demand response scheme based on adaptive consumption level pricing

(2016) Haider Tarish Haider et al.   ENERGY

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

(2016) S. Sholahudin et al.   ENERGY

Model-based method for testing, adjusting and balancing of HVAC duct system

(2016) Haoran Chen et al.   ENERGY AND BUILDINGS

Smart home energy management systems: Concept, configurations, and scheduling strategies

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

Determination of Optimal Initial Weights of an Artificial Neural Network by Using the Harmony Search Algorithm: Application to Breakwater Armor Stones

(2016) Anzy Lee et al.   Applied Sciences-Basel

A cost-efficient and reliable energy management of a micro-grid using intelligent demand-response program

(2015) Hossein Safamehr et al.   ENERGY

Ensemble of various neural networks for prediction of heating energy consumption

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

An improved office building cooling load prediction model based on multivariable linear regression

(2015) Guo Qiang et al.   ENERGY AND BUILDINGS

Review of modeling methods for HVAC systems

(2014) Abdul Afram et al.   APPLIED THERMAL ENGINEERING

Dynamic operation and control of microgrid hybrid power systems

(2014) Ting-Chia Ou et al.   ENERGY

Hourly cooling load forecasting using time-indexed ARX models with two-stage weighted least squares regression

(2014) Yin Guo et al.   ENERGY CONVERSION AND MANAGEMENT

Re-evaluation of building cooling load prediction models for use in humid subtropical area

(2013) Zhengwei Li et al.   ENERGY AND BUILDINGS

Ground fault current analysis with a direct building algorithm for microgrid distribution

(2013) Ting-Chia Ou   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Predicting Cooling Loads for the Next 24 Hours Based on General Regression Neural Network: Methods and Results

(2013) Yuying Sun et al.   Advances in Mechanical Engineering

A novel unsymmetrical faults analysis for microgrid distribution systems

(2012) Ting-Chia Ou   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Demand Response Optimization for Smart Home Scheduling Under Real-Time Pricing

(2012) K. M. Tsui et al.   IEEE Transactions on Smart Grid

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

A parallel immune algorithm for traveling salesman problem and its application on cold rolling scheduling

(2010) Jun Zhao et al.   INFORMATION SCIENCES

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

(2009) Qiong Li et al.   APPLIED ENERGY

Demand response modeling considering Interruptible/Curtailable loads and capacity market programs

(2009) H.A. Aalami et al.   APPLIED ENERGY

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

A review on buildings energy consumption information

(2007) Luis Pérez-Lombard et al.   ENERGY AND BUILDINGS