Predicting monthly biofuel production using a hybrid ensemble forecasting methodology

Green loan and subsidy for promoting clean production innovation

(2018) Zhenghui Li et al.   JOURNAL OF CLEANER PRODUCTION

LSTM network: a deep learning approach for short-term traffic forecast

(2017) Zheng Zhao et al.   IET Intelligent Transport Systems

Financial time series prediction using a dendritic neuron model

(2016) Tianle Zhou et al.   KNOWLEDGE-BASED SYSTEMS

Impact of biofuel development on Malaysian agriculture: a comparative statics, multicommodity, multistage production, partial equilibrium approach

(2016) Yaghoob Jafari et al.   Food and Energy Security

A decomposition–ensemble model with data-characteristic-driven reconstruction for crude oil price forecasting

(2015) Lean Yu et al.   APPLIED ENERGY

Forecasting China’s Annual Biofuel Production Using an Improved Grey Model

(2015) Nana Geng et al.   Energies

A novel multistage deep belief network based extreme learning machine ensemble learning paradigm for credit risk assessment

(2015) Lean Yu et al.   Flexible Services and Manufacturing Journal

A Novel CEEMD-Based EELM Ensemble Learning Paradigm for Crude Oil Price Forecasting

(2015) Ling Tang et al.   INTERNATIONAL JOURNAL OF INFORMATION TECHNOLOGY & DECISION MAKING

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)

(2015) Shaobo Lin et al.   IEEE Transactions on Neural Networks and Learning Systems

An advanced wind speed multi-step ahead forecasting approach with characteristic component analysis

(2014) Guoyong Zhang et al.   Journal of Renewable and Sustainable Energy

Demand forecast for road transportation fuels including gasoline, diesel, LPG, bioethanol and biodiesel for Turkey between 2013 and 2023

(2013) Mehmet Melikoglu   RENEWABLE ENERGY

The impacts of biofuels targets on land-use change and food supply:
 A global CGE assessment

(2012) Govinda R. Timilsina et al.   AGRICULTURAL ECONOMICS

Prediction of optimized pretreatment process parameters for biodiesel production using ANN and GA

(2009) Machavaram Rajendra et al.   FUEL

A yield forecast model for pilot products using support vector regression and manufacturing experience–the case of large-size polariser

(2009) Der-Chiang Li et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

A new boosting algorithm for improved time-series forecasting with recurrent neural networks

(2006) Mohammad Assaad et al.   Information Fusion