A hybrid deep meta-ensemble networks with application in electric utility industry load forecasting

Enhanced Gaussian process mixture model for short-term electric load forecasting

(2018) Ling-Ling Li et al.   INFORMATION SCIENCES

A retail store SKU promotions optimization model for category multi-period profit maximization

(2017) Shaohui Ma et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Stochastic Configuration Networks: Fundamentals and Algorithms

(2017) Dianhui Wang et al.   IEEE Transactions on Cybernetics

Fast computation of reconciled forecasts for hierarchical and grouped time series

(2016) Rob J. Hyndman et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

Demand forecasting with high dimensional data: The case of SKU retail sales forecasting with intra- and inter-category promotional information

(2016) Shaohui Ma et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Neural networks for pattern-based short-term load forecasting: A comparative study

(2016) Grzegorz Dudek   NEUROCOMPUTING

A Novel RBF Training Algorithm for Short-Term Electric Load Forecasting and Comparative Studies

(2015) Carlo Cecati et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

(2015) Muhammad Qamar Raza et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Data-intensive applications, challenges, techniques and technologies: A survey on Big Data

(2014) C.L. Philip Chen et al.   INFORMATION SCIENCES

Short-Term Load Forecasting With Exponentially Weighted Methods

(2011) James W. Taylor   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-term load forecasting using lifting scheme and ARIMA models

(2010) Cheng-Ming Lee et al.   EXPERT SYSTEMS WITH APPLICATIONS

Electric load forecasting methods: Tools for decision making

(2009) Heiko Hahn et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH