Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

Short-Term Forecasting of Electric Loads Using Nonlinear Autoregressive Artificial Neural Networks with Exogenous Vector Inputs

(2017) Jaime Buitrago et al.   Energies

A Short-Term Load Forecasting Model with a Modified Particle Swarm Optimization Algorithm and Least Squares Support Vector Machine Based on the Denoising Method of Empirical Mode Decomposition and Grey Relational Analysis

(2017) Dongxiao Niu et al.   Energies

Pattern-based local linear regression models for short-term load forecasting

(2016) Grzegorz Dudek   ELECTRIC POWER SYSTEMS RESEARCH

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

(2016) Yuqi Dong et al.   Energies

Short-Term Load Forecasting Based on Wavelet Transform and Least Squares Support Vector Machine Optimized by Improved Cuckoo Search

(2016) Yi Liang et al.   Energies

An Efficient Approach to Short-Term Load Forecasting at the Distribution Level

(2016) Xiaorong Sun et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A hybrid short-term load forecasting with a new input selection framework

(2015) M. Ghofrani et al.   ENERGY

Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines

(2015) Fazil Kaytez et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Applications of fuzzy logic in renewable energy systems – A review

(2015) L. Suganthi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Artificial Neural Network for Short-Term Load Forecasting in Distribution Systems

(2014) Luis Hernández et al.   Energies

Hybrid PSO–SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank

(2013) A. Selakov et al.   APPLIED SOFT COMPUTING

An optimization based empirical mode decomposition scheme

(2012) Boqiang Huang et al.   JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS

Short-term load forecasting using bayesian neural networks learned by Hybrid Monte Carlo algorithm

(2011) Dong-xiao Niu et al.   APPLIED SOFT COMPUTING

Short-term prediction of wind power using EMD and chaotic theory

(2011) Xueli An et al.   Communications in Nonlinear Science and Numerical Simulation

Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks

(2009) Ying Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS