Prediction of transportation energy demand in Türkiye using stacking ensemble models: Methodology and comparative analysis

Thermophysical profile of graphene oxide and MXene hybrid nanofluids for sustainable energy applications: Model prediction with a Bayesian optimized neural network with K-cross fold validation

(2023) Praveen Kumar Kanti et al.   FlatChem

Prediction of transportation energy demand by novel hybrid meta-heuristic ANN

(2022) Mohammad Ali Sahraei et al.   ENERGY

Evolutionary deep learning: A survey

(2022) Zhi-Hui Zhan et al.   NEUROCOMPUTING

Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review

(2022) Jireh Yi-Le Chan et al.   Mathematics

Unsupervised machine learning in urban studies: A systematic review of applications

(2022) Jing Wang et al.   CITIES

Renewable energy approach towards powering the CI engine with ternary blends of algal biodiesel-diesel-diethyl ether: Bayesian optimized Gaussian process regression for modeling-optimization

(2022) Mansoor Alruqi et al.   FUEL

Energy Demand of the Road Transport Sector of Saudi Arabia—Application of a Causality-Based Machine Learning Model to Ensure Sustainable Environment

(2022) Muhammad Muhitur Rahman et al.   Sustainability

Feature selection strategy for machine learning methods in building energy consumption prediction

(2022) Qingyao Qiao et al.   Energy Reports

Role of machine learning in medical research: A survey

(2021) Arunim Garg et al.   Computer Science Review

Prediction of transportation energy demand: Multivariate Adaptive Regression Splines

(2021) Mohammad Ali Sahraei et al.   ENERGY

An ensemble approach for electricity price forecasting in markets with renewable energy resources

(2021) Kushagra Bhatia et al.   Utilities Policy

Forecasting of transportation-related energy demand and CO2 emissions in Turkey with different machine learning algorithms

(2021) Ümit Ağbulut   Sustainable Production and Consumption

Root mean square error or mean absolute error? Use their ratio as well

(2021) Dulakshi Santhusitha Kumari Karunasingha   INFORMATION SCIENCES

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

(2021) Matheus Henrique Dal Molin Ribeiro et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Prediction of daily global solar radiation using different machine learning algorithms: Evaluation and comparison

(2020) Ümit Ağbulut et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A hybrid prognostics approach for estimating remaining useful life of wind turbine bearings

(2020) Ping Wang et al.   Energy Reports

Ensemble machine learning models for the detection of energy theft

(2020) Sravan Kumar Gunturi et al.   ELECTRIC POWER SYSTEMS RESEARCH

Optimal long-term prediction of Taiwan’s transport energy by convolutional neural network and wildebeest herd optimizer

(2020) Shunyu Yao et al.   Energy Reports

An Estimation of Transport Energy Demand in Turkey via Artificial Neural Networks

(2019) Muhammed Yasin Çodur et al.   Promet-Traffic & Transportation

Model selection for accurate daily global solar radiation prediction in China

(2019) Shaban G. Gouda et al.   JOURNAL OF CLEANER PRODUCTION

A survey on ensemble learning

(2019) Xibin Dong et al.   Frontiers of Computer Science

Predictive modeling of biomass gasification with machine learning-based regression methods

(2019) Furkan Elmaz et al.   ENERGY

Application of functional deep belief network for estimating daily global solar radiation: A case study in China

(2019) Haixiang Zang et al.   ENERGY

A survey on machine learning for data fusion

(2019) Tong Meng et al.   Information Fusion

Development and application of China provincial road transport energy demand and GHG emissions analysis model

(2018) Tianduo Peng et al.   APPLIED ENERGY

Water source heat pump energy demand prognosticate using disparate data-mining based approaches

(2018) Tanveer Ahmad et al.   ENERGY

Random Forest based hourly building energy prediction

(2018) Zeyu Wang et al.   ENERGY AND BUILDINGS

Handling interpretability issues in ANFIS using rule base simplification and constrained learning

(2018) Sharifa Rajab   FUZZY SETS AND SYSTEMS

Estimating transportation energy demand in Turkey using the artificial bee colony algorithm

(2017) Mustafa Sonmez et al.   ENERGY

Deep Reinforcement Learning: A Brief Survey

(2017) Kai Arulkumaran et al.   IEEE SIGNAL PROCESSING MAGAZINE

Use of group method of data handling for transport energy demand modeling

(2017) Geer Teng et al.   Energy Science & Engineering

Empirical models for estimating daily global solar radiation in Yucatán Peninsula, Mexico

(2016) Victor H. Quej et al.   ENERGY CONVERSION AND MANAGEMENT

Analysis of road transportation energy consumption demand in China

(2016) Jian Chai et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables

(2015) D.H. Vu et al.   APPLIED ENERGY

Navigating the fourth industrial revolution

(2015) Andrew D. Maynard   Nature Nanotechnology

Projection of future transport energy demand of Jordan using adaptive neuro-fuzzy technique

(2012) Ahmed Al-Ghandoor et al.   ENERGY

Projection of future transport energy demand of Thailand

(2011) Thirayoot Limanond et al.   ENERGY POLICY

Transport energy demand modeling of South Korea using artificial neural network

(2011) Zong Woo Geem   ENERGY POLICY

Orthogonal Matching Pursuit for Sparse Signal Recovery With Noise

(2011) T. Tony Cai et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Modeling and prediction of Turkey’s electricity consumption using Support Vector Regression

(2010) Kadir Kavaklioglu   APPLIED ENERGY

Monitoring urban transport air pollution and energy demand in Rawalpindi and Islamabad using leap model

(2010) Rabia Shabbir et al.   ENERGY

The forecast of motor vehicle, energy demand and CO2 emission from Taiwan's road transportation sector

(2009) I.J. Lu et al.   ENERGY POLICY

Transport energy modeling with meta-heuristic harmony search algorithm, an application to Turkey

(2008) Huseyin Ceylan et al.   ENERGY POLICY

Reduction potentials of energy demand and GHG emissions in China's road transport sector

(2008) Xiaoyu Yan et al.   ENERGY POLICY