Short-term electrical load forecasting through heuristic configuration of regularized deep neural network

Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid

(2020) Ghulam Hafeez et al.   APPLIED ENERGY

Energy load time-series forecast using decomposition and autoencoder integrated memory network

(2020) Jatin Bedi et al.   APPLIED SOFT COMPUTING

Electrical load forecasting: A deep learning approach based on K-nearest neighbors

(2020) Yunxuan Dong et al.   APPLIED SOFT COMPUTING

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

(2018) Salah Bouktif et al.   Energies

Short-Term Load Forecasting Using a Novel Deep Learning Framework

(2018) Xiaoyu Zhang et al.   Energies

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

(2018) Weicong Kong et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-term Load Forecasting with Deep Residual Networks

(2018) Kunjin Chen et al.   IEEE Transactions on Smart Grid

Deep Learning Based on Multi-Decomposition for Short-Term Load Forecasting

(2018) Seon Kim et al.   Energies

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN

(2017) Heng Shi et al.   IEEE Transactions on Smart Grid

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Hybrid methodologies for electricity load forecasting: Entropy-based feature selection with machine learning and soft computing techniques

(2015) Sergio Jurado et al.   ENERGY

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

Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression

(2014) Zhongyi Hu et al.   APPLIED SOFT COMPUTING

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

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

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

A hybrid-forecasting model based on Gaussian support vector machine and chaotic particle swarm optimization

(2009) Qi Wu   EXPERT SYSTEMS WITH APPLICATIONS