Sales Demand Forecasting in Car Industry Using Seagull Optimization Based Holt Winter and Quantile Regression Neural Network

An optimized model using LSTM network for demand forecasting

(2020) Hossein Abbasimehr et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A hybrid prediction model for residential electricity consumption using holt-winters and extreme learning machine

(2020) Che Liu et al.   APPLIED ENERGY

Demand forecasting in the presence of systematic events: Cases in capturing sales promotions

(2020) Mahdi Abolghasemi et al.   INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS

Forecasting Quarterly Sales Volume of the New Energy Vehicles Industry in China Using a Data Grouping Approach-Based Nonlinear Grey Bernoulli Model

(2019) Ling-Ling Pei et al.   Sustainability

Demand forecasting in retail operations for fashionable products: methods, practices, and real case study

(2019) Shuyun Ren et al.   ANNALS OF OPERATIONS RESEARCH

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

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

Demand forecasting and financial estimation considering the interactive dynamics of semiconductor supply-chain companies

(2019) Chih-Hsuan Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

An optimised grey buffer operator for forecasting the production and sales of new energy vehicles in China

(2019) Ling-Yang He et al.   SCIENCE OF THE TOTAL ENVIRONMENT

An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting

(2018) Wenjie Zhang et al.   IEEE Transactions on Smart Grid

A Demand Forecasting Method Based on Stochastic Frontier Analysis and Model Average: An Application in Air Travel Demand Forecasting

(2018) Xinyu Zhang et al.   Journal of Systems Science & Complexity

Seagull optimization algorithm: Theory and its applications for large-scale industrial engineering problems

(2018) Gaurav Dhiman et al.   KNOWLEDGE-BASED SYSTEMS

Cluster-based hierarchical demand forecasting for perishable goods

(2017) Jakob Huber et al.   EXPERT SYSTEMS WITH APPLICATIONS

Demand Forecasting for Heavy-Duty Diesel Engines Considering Emission Regulations

(2017) Yoon Kim et al.   Sustainability