Short-Term Electricity-Load Forecasting Using a TSK-Based Extreme Learning Machine with Knowledge Representation

Consumption Behavior Analytics-Aided Energy Forecasting and Dispatch

(2017) Yingchen Zhang et al.   IEEE INTELLIGENT SYSTEMS

An ensemble approach for short-term load forecasting by extreme learning machine

(2016) Song Li et al.   APPLIED ENERGY

Research and Application of a Hybrid Forecasting Model Based on Data Decomposition for Electrical Load Forecasting

(2016) Yuqi Dong et al.   Energies

A Permutation Importance-Based Feature Selection Method for Short-Term Electricity Load Forecasting Using Random Forest

(2016) Nantian Huang et al.   Energies

Very Short-Term Nonparametric Probabilistic Forecasting of Renewable Energy Generation— With Application to Solar Energy

(2016) Faranak Golestaneh et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection

(2016) Song Li et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Random vector functional link network for short-term electricity load demand forecasting

(2016) Ye Ren et al.   INFORMATION SCIENCES

A Sparse Coding Approach to Household Electricity Demand Forecasting in Smart Grids

(2016) Chun-Nam Yu et al.   IEEE Transactions on Smart Grid

Short-term load forecasting by wavelet transform and evolutionary extreme learning machine

(2015) Song Li et al.   ELECTRIC POWER SYSTEMS RESEARCH

Local Receptive Fields Based Extreme Learning Machine

(2015) Guang-Bin Huang et al.   IEEE Computational Intelligence Magazine

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

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

Accelerated Continuous Conditional Random Fields For Load Forecasting

(2015) Hongyu Guo   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Autoregressive with Exogenous Variables and Neural Network Short-Term Load Forecast Models for Residential Low Voltage Distribution Networks

(2014) Christopher Bennett et al.   Energies

Local Short and Middle Term Electricity Load Forecasting With Semi-Parametric Additive Models

(2014) Yannig Goude et al.   IEEE Transactions on Smart Grid

Short-Term Load Forecasting for Microgrids Based on Artificial Neural Networks

(2013) Luis Hernandez et al.   Energies

Short-term load forecasting of Australian National Electricity Market by an ensemble model of extreme learning machine

(2013) Rui Zhang et al.   IET Generation Transmission & Distribution

T2FELA: Type-2 Fuzzy Extreme Learning Algorithm for Fast Training of Interval Type-2 TSK Fuzzy Logic System

(2013) Zhaohong Deng et al.   IEEE Transactions on Neural Networks and Learning Systems

Optimizing extreme learning machines via ridge regression and batch intrinsic plasticity

(2012) Klaus Neumann et al.   NEUROCOMPUTING

Universal Approximation of Extreme Learning Machine With Adaptive Growth of Hidden Nodes

(2012) Rui Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

A New Neural Network Approach to Short Term Load Forecasting of Electrical Power Systems

(2011) Nima Amjady et al.   Energies

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS

Development of Quantum-Based Adaptive Neuro-Fuzzy Networks

(2009) Sung-Suk Kim et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS