Ming Dong

Electric Load Forecasting by Hybrid Self-Recurrent Support Vector Regression Model With Variational Mode Decomposition and Improved Cuckoo Search Algorithm

Deep learned recurrent type-3 fuzzy system: Application for renewable energy modeling/prediction

Short-Term Load Forecasting for Industrial Customers Based on TCN-LightGBM

A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings

A hybrid application algorithm based on the support vector machine and artificial intelligence: An example of electric load forecasting

Digital Twin in manufacturing: A categorical literature review and classification

Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing

Comprehensive Review of Artificial Neural Network Applications to Pattern Recognition

A review on time series forecasting techniques for building energy consumption

A comprehensive review on type 2 fuzzy logic applications: Past, present and future

Real time experimental implementation of optimum energy management system in standalone Microgrid by using multi-layer ant colony optimization

Forecasting China's electricity consumption using a new grey prediction model

An Improved Ant Colony Optimization Algorithm Based on Hybrid Strategies for Scheduling Problem

Modeling data uncertainty on electric load forecasting based on Type-2 fuzzy logic set theory

A novel random fuzzy neural networks for tackling uncertainties of electric load forecasting