Forecasting automobile gasoline demand in Australia using machine learning-based regression

Machine learning model to project the impact of COVID-19 on US motor gasoline demand

(2020) Shiqi Ou et al.   Nature Energy

Multi-objective optimization of energy use and environmental emissions for walnut production using imperialist competitive algorithm

(2020) Majid Khanali et al.   APPLIED ENERGY

Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms

(2018) Jesus Lago et al.   APPLIED ENERGY

Machine learning-based thermal response time ahead energy demand prediction for building heating systems

(2018) Yabin Guo et al.   APPLIED ENERGY

Effective Long short-term Memory with Differential Evolution Algorithm for Electricity Price Prediction

(2018) Lu Peng et al.   ENERGY

A novel decompose-ensemble methodology with AIC-ANN approach for crude oil forecasting

(2018) Yishan Ding   ENERGY

Discriminant effects of consumer electronics use-phase attributes on household energy prediction

(2018) Ardeshir Raihanian Mashhadi et al.   ENERGY POLICY

The determinants of residential energy expenditure in Italy

(2018) Giorgio Besagni et al.   ENERGY

Time-Varying Volatility Feedback of Energy Prices: Evidence from Crude Oil, Petroleum Products, and Natural Gas Using a TVP-SVM Model

(2018) Yong Jiang et al.   Sustainability

Day-ahead natural gas demand forecasting based on the combination of wavelet transform and ANFIS/genetic algorithm/neural network model

(2017) Ioannis P. Panapakidis et al.   ENERGY

Modeling of energy consumption and environmental life cycle assessment for incineration and landfill systems of municipal solid waste management - A case study in Tehran Metropolis of Iran

(2017) Ashkan Nabavi-Pelesaraei et al.   JOURNAL OF CLEANER PRODUCTION

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

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

A novel hybrid algorithm for electricity price and load forecasting in smart grids with demand-side management

(2016) A. Ghasemi et al.   APPLIED ENERGY

Implementation of flower pollination algorithm for solving economic load dispatch and combined economic emission dispatch problems in power systems

(2016) A.Y. Abdelaziz et al.   ENERGY

Mine blast algorithm for environmental economic load dispatch with valve loading effect

(2016) E. S. Ali et al.   NEURAL COMPUTING & APPLICATIONS

Assessing the energy potential in the South African industry: A combined IDA-ANN-DEA (Index Decomposition Analysis-Artificial Neural Network-Data Envelopment Analysis) model

(2013) O.A. Olanrewaju et al.   ENERGY

Integrating individual trip planning in energy efficiency – Building decision tree models for Danish fisheries

(2013) Francois Bastardie et al.   FISHERIES RESEARCH

Area-Load Based Pricing in DSM Through ANN and Heuristic Scheduling

(2013) N. Kunwar et al.   IEEE Transactions on Smart Grid

Transport energy demand forecast using multi-level genetic programming

(2011) Mehdi Forouzanfar et al.   APPLIED 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

A PSO–GA optimal model to estimate primary energy demand of China

(2011) Shiwei Yu et al.   ENERGY POLICY

Forecasting automobile petrol demand in Australia: An evaluation of empirical models

(2009) Zheng Li et al.   TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE