Prediction of transportation energy demand: Multivariate Adaptive Regression Splines

Analysis of macro nutrient related growth responses using multivariate adaptive regression splines

(2020) Meleksen Akin et al.   PLANT CELL TISSUE AND ORGAN CULTURE

Multivariate Adaptive Regression Splines (MARS) approach to blast-induced ground vibration prediction

(2019) Clement Kweku Arthur et al.   International Journal of Mining Reclamation and Environment

Prediction of Selected Reproductive Traits of Indigenous Harnai Sheep under the Farm Management System via various Data Mining Algorithms

(2019) Daniel Zaborski et al.   PAKISTAN JOURNAL OF ZOOLOGY

Time frequency relationship between energy consumption, economic growth and environmental degradation in the United States: Evidence from transportation sector

(2019) Syed Ali Raza et al.   ENERGY

Relative evaluation of regression tools for urban area electrical energy demand forecasting

(2019) Nils Jakob Johannesen et al.   JOURNAL OF CLEANER PRODUCTION

HVAC Optimization Genetic Algorithm for Industrial Near-Zero-Energy Building Demand Response

(2019) Nikolaos Kampelis et al.   Energies

Development of NOx reduction system utilizing artificial neural network (ANN) and genetic algorithm (GA)

(2019) Yeonju Shin et al.   JOURNAL OF CLEANER PRODUCTION

Building energy performance forecasting: A multiple linear regression approach

(2019) G. Ciulla et al.   APPLIED ENERGY

Daily electrical energy consumption: Periodicity, harmonic regression method and forecasting

(2019) Yılmaz Akdi et al.   ENERGY

Application of neural network and weighted improved PSO for uncertainty modeling and optimal allocating of renewable energies along with battery energy storage

(2019) Amin Masoumi et al.   APPLIED SOFT COMPUTING

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

Multivariate adaptive regression splines for estimating riverine constituent concentrations

(2019) Hong Huang et al.   HYDROLOGICAL PROCESSES

Forecasting of Turkey's greenhouse gas emissions using linear and nonlinear rolling metabolic grey model based on optimization

(2019) Utkucan Şahin   JOURNAL OF CLEANER PRODUCTION

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Two-phase particle swarm optimized-support vector regression hybrid model integrated with improved empirical mode decomposition with adaptive noise for multiple-horizon electricity demand forecasting

(2018) Mohanad S. AL-Musaylh et al.   APPLIED ENERGY

The relationship between energy consumption, urbanization, and economic growth in new emerging-market countries

(2018) Tahsin Bakirtas et al.   ENERGY

A review of data-driven building energy consumption prediction studies

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

Estimating heating load in buildings using multivariate adaptive regression splines, extreme learning machine, a hybrid model of MARS and ELM

(2018) Sanjiban Sekhar Roy et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Novel grey prediction model with nonlinear optimized time response method for forecasting of electricity consumption in China

(2017) Ning Xu et al.   ENERGY

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

(2017) Mustafa Sonmez et al.   ENERGY

Forecasting China’s natural gas demand based on optimised nonlinear grey models

(2017) Faheemullah Shaikh et al.   ENERGY

Data-driven fuel consumption estimation: A multivariate adaptive regression spline approach

(2017) Yuche Chen et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines

(2016) Yanting Li et al.   APPLIED ENERGY

Predicting future monthly residential energy consumption using building characteristics and climate data: A statistical learning approach

(2016) Kristopher T. Williams et al.   ENERGY AND BUILDINGS

Long term electricity consumption forecast in Brazil: A fuzzy logic approach

(2016) Fabiano Castro Torrini et al.   SOCIO-ECONOMIC PLANNING SCIENCES

Multivariate adaptive regression splines and neural network models for prediction of pile drivability

(2016) Wengang Zhang et al.   Geoscience Frontiers

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

Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models

(2015) Ravinesh C. Deo et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Accurately predicting building energy performance using evolutionary multivariate adaptive regression splines

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

General procedure for long-term energy-environmental planning for transportation sector of developing countries with limited data based on LEAP (long-range energy alternative planning) and EnergyPLAN

(2014) A. Sadri et al.   ENERGY

Precipitation Modeling by Polyhedral RCMARS and Comparison with MARS and CMARS

(2014) Ayşe Özmen et al.   ENVIRONMENTAL MODELING & ASSESSMENT

Highly-resolved modeling of personal transportation energy consumption in the United States

(2013) Matteo Muratori et al.   ENERGY

A review of sensitivity analysis methods in building energy analysis

(2013) Wei Tian   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Energy and exergy efficiencies in the Chinese transportation sector, 1980–2009

(2011) M. Zhang et al.   ENERGY

Projection of future transport energy demand of Thailand

(2011) Thirayoot Limanond et al.   ENERGY POLICY

Estimating Transport Energy Demand Using Ant Colony Optimization

(2011) O. Baskan et al.   Energy Sources Part B-Economics Planning and Policy

CMARS: a new contribution to nonparametric regression with multivariate adaptive regression splines supported by continuous optimization

(2011) Gerhard-Wilhelm Weber et al.   INVERSE PROBLEMS IN SCIENCE AND ENGINEERING

Energy models for demand forecasting—A review

(2011) L. Suganthi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

MALAYSIAN ENERGY DEMAND AND EMISSIONS FROM THE TRANSPORTATION SECTOR

(2011) Anwar Al-Mofleh et al.   Transport

Improved technical efficiency and exogenous factors in transportation demand for energy: An application of structural time series analysis to South Korean data

(2010) Suleiman Sa'ad   ENERGY

Forecasting the transport energy demand based on PLSR method in China

(2009) Ming Zhang 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

Modeling of end-use energy consumption in the residential sector: A review of modeling techniques

(2009) Lukas G. Swan et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Performance of Multivariate Adaptive Regression Splines (MARS) in predicting runoff in mid-Himalayan micro-watersheds with limited data / Performances de régressions par splines multiples et adaptives (MARS) pour la prévision d'écoulement au sein de micro-bassins versants Himalayens d'altitudes intermédiaires avec peu de données

(2008) V. N. SHARDA et al.   HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES