Meta-ANN – A dynamic artificial neural network refined by meta-learning for Short-Term Load Forecasting

Support vector regression with asymmetric loss for optimal electric load forecasting

(2021) Jinran Wu et al.   ENERGY

Residential load forecasting based on LSTM fusing self-attention mechanism with pooling

(2021) Haixiang Zang et al.   ENERGY

Probabilistic Load Forecasting Based on Adaptive Online Learning

(2021) Veronica Alvarez et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A data-driven deep sequence-to-sequence long-short memory method along with a gated recurrent neural network for wind power forecasting

(2021) Tanveer Ahmad et al.   ENERGY

A novel asynchronous deep reinforcement learning model with adaptive early forecasting method and reward incentive mechanism for short-term load forecasting

(2021) Wenyu Zhang et al.   ENERGY

Hybrid Multitask Multi-Information Fusion Deep Learning for Household Short-Term Load Forecasting

(2021) Lianjie Jiang et al.   IEEE Transactions on Smart Grid

A self-partitioning local neuro fuzzy model for short-term load forecasting in smart grids

(2020) Z. Tavassoli-Hojati et al.   ENERGY

An efficient hour-ahead electrical load forecasting method based on innovative features

(2020) Amir Rafati et al.   ENERGY

Short-term load forecasting for microgrid energy management system using hybrid HHO-FNN model with best-basis stationary wavelet packet transform

(2020) Usman Bashir Tayab et al.   ENERGY

Short-term wind speed forecasting using recurrent neural networks with error correction

(2020) Jikai Duan et al.   ENERGY

A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network

(2020) Jian Li et al.   IEEE Transactions on Industrial Informatics

Short-term load forecasting by using a combined method of convolutional neural networks and fuzzy time series

(2019) Hossein Javedani Sadaei et al.   ENERGY

Short-term electrical load forecasting based on error correction using dynamic mode decomposition

(2019) Xiangyu Kong et al.   APPLIED ENERGY

Comparison of three short-term load forecast models in Southern California

(2019) Ning Zhang et al.   ENERGY

Short-Term Load Forecasting by Separating Daily Profiles and Using a Single Fuzzy Model Across the Entire Domain

(2018) Gregor Cerne et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Demand baseline estimation using similarity-based technique for tropical and wet climates

(2018) Gururaghav Raman et al.   IET Generation Transmission & Distribution

Probabilistic Load Forecasting using an Improved Wavelet Neural Network Trained by Generalized Extreme Learning Machine

(2018) Mehdi Rafiei et al.   IEEE Transactions on Smart Grid

A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization

(2018) Huaiguang Jiang et al.   IEEE Transactions on Smart Grid

Parsimonious Short-Term Load Forecasting for Optimal Operation Planning of Electrical Distribution Systems

(2018) Juan Camilo Lopez et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

An Improved Quantile Regression Neural Network for Probabilistic Load Forecasting

(2018) Wenjie Zhang et al.   IEEE Transactions on Smart Grid

Relative Entropy-Based Density Selection in Particle Filtering for Load Demand Forecast

(2017) Xiaoran Shi et al.   IEEE Transactions on Automation Science and Engineering

An Accurate and Fast Converging Short-Term Load Forecasting Model for Industrial Applications in a Smart Grid

(2017) Ashfaq Ahmad et al.   IEEE Transactions on Industrial Informatics

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

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

(2016) Grzegorz Dudek   ELECTRIC POWER SYSTEMS RESEARCH

Using the ensemble Kalman filter for electricity load forecasting and analysis

(2016) Hisashi Takeda et al.   ENERGY

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

Deep learning

(2015) Yann LeCun et al.   NATURE

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

A new cascade NN based method to short-term load forecast in deregulated electricity market

(2013) Sajjad Kouhi et al.   ENERGY CONVERSION AND MANAGEMENT

Short-Term Load Forecasting With Exponentially Weighted Methods

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

Short-Term Load Forecasting Based on a Semi-Parametric Additive Model

(2011) Shu Fan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A novel hybridization of artificial neural networks and ARIMA models for time series forecasting

(2010) Mehdi Khashei et al.   APPLIED SOFT COMPUTING

Triple seasonal methods for short-term electricity demand forecasting

(2009) James W. Taylor   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH