An oil imports dependence forecasting system based on fuzzy time series and multi-objective optimization algorithm: Case for China

An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting

(2022) Jianzhou Wang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A combined model based on data preprocessing strategy and multi-objective optimization algorithm for short-term wind speed forecasting

(2019) Xinsong Niu et al.   APPLIED ENERGY

India's dependence on foreign oil will exceed 90% around 2025 - The forecasting results based on two hybridized NMGM-ARIMA and NMGM-BP models

(2019) Shuyu Li et al.   JOURNAL OF CLEANER PRODUCTION

Optimization of neural network with wavelet transform and improved data selection using bat algorithm for short-term load forecasting

(2019) P.M.R. Bento et al.   NEUROCOMPUTING

Hybrid wind energy forecasting and analysis system based on divide and conquer scheme: A case study in China

(2019) Wendong Yang et al.   JOURNAL OF CLEANER PRODUCTION

Potentials and opportunities for low carbon energy transition in Vietnam: A policy analysis

(2019) Caitlin Shem et al.   ENERGY POLICY

Identification of influential users in social network using gray wolf optimization algorithm

(2019) Ahmad Zareie et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fuzzy time-series model based on rough set rule induction for forecasting stock price

(2018) Ching-Hsue Cheng et al.   NEUROCOMPUTING

A hybrid fuzzy time series forecasting model based on granular computing and bio-inspired optimization approaches

(2018) Pritpal Singh et al.   Journal of Computational Science

Application of a novel early warning system based on fuzzy time series in urban air quality forecasting in China

(2018) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

A new hybrid ant colony optimization algorithm for solving the no-wait flow shop scheduling problems

(2018) Orhan Engin et al.   APPLIED SOFT COMPUTING

An improved grey model optimized by multi-objective ant lion optimization algorithm for annual electricity consumption forecasting

(2018) Jianzhou Wang et al.   APPLIED SOFT COMPUTING

Research on a combined model based on linear and nonlinear features - A case study of wind speed forecasting

(2018) Kequan Zhang et al.   RENEWABLE ENERGY

China's distributed energy policies: Evolution, instruments and recommendation

(2018) Lei Zhang et al.   ENERGY POLICY

A hybrid forecasting system based on fuzzy time series and multi-objective optimization for wind speed forecasting

(2018) Ping Jiang et al.   APPLIED ENERGY

A Hybrid Wind Speed Forecasting System Based on a ‘Decomposition and Ensemble’ Strategy and Fuzzy Time Series

(2017) Hufang Yang et al.   Energies

Research on the interaction patterns among the global crude oil import dependency countries: A complex network approach

(2016) Minggang Wang et al.   APPLIED ENERGY

A new approach for forecasting OPEC petroleum consumption based on neural network train by using flower pollination algorithm

(2016) Haruna Chiroma et al.   APPLIED SOFT COMPUTING

Measuring global oil trade dependencies: An application of the point-wise mutual information method

(2016) Ali Kharrazi et al.   ENERGY POLICY

An estimation of crude oil import demand in Turkey: Evidence from time-varying parameters approach

(2016) Ilhan Ozturk et al.   ENERGY POLICY

Multilayer Neural Network with Multi-Valued Neurons in time series forecasting of oil production

(2016) Igor Aizenberg et al.   NEUROCOMPUTING

A Novel Combined Model Based on an Artificial Intelligence Algorithm—A Case Study on Wind Speed Forecasting in Penglai, China

(2016) Feiyu Zhang et al.   Sustainability

A hybrid fuzzy time series model based on granular computing for stock price forecasting

(2015) Mu-Yen Chen et al.   INFORMATION SCIENCES

Forecasting future oil demand in Iran using GSA (Gravitational Search Algorithm)

(2011) M.A. Behrang et al.   ENERGY

A comparison of two typical multicyclic models used to forecast the world's conventional oil production

(2011) Jianliang Wang et al.   ENERGY POLICY

Application of PSO (particle swarm optimization) and GA (genetic algorithm) techniques on demand estimation of oil in Iran

(2010) E. Assareh et al.   ENERGY

Peak oil analyzed with a logistic function and idealized Hubbert curve

(2010) Brian Gallagher   ENERGY POLICY

A variant of the Hubbert curve for world oil production forecasts

(2009) G. Maggio et al.   ENERGY POLICY

A bivariate fuzzy time series model to forecast the TAIEX

(2007) T YU et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fuzzy time-series based on adaptive expectation model for TAIEX forecasting

(2006) C CHENG et al.   EXPERT SYSTEMS WITH APPLICATIONS