Short‐term building load forecast based on a data‐mining feature selection and LSTM‐RNN method

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

Day-ahead load forecast using random forest and expert input selection

(2015) A. Lahouar et al.   ENERGY CONVERSION AND MANAGEMENT

Deep learning

(2015) Yann LeCun et al.   NATURE

Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting

(2015) Chun-Yang Zhang et al.   IEEE Transactions on Sustainable Energy

Imperialist competitive algorithm combined with refined high-order weighted fuzzy time series (RHWFTS–ICA) for short term load forecasting

(2013) Rasul Enayatifar et al.   ENERGY CONVERSION AND MANAGEMENT

Short-Term Load Forecasting: The Similar Shape Functional Time-Series Predictor

(2013) Efstathios Paparoditis et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A new hybrid day-ahead peak load forecasting method for Iran’s National Grid

(2012) M. Moazzami et al.   APPLIED ENERGY

A novel economy reflecting short-term load forecasting approach

(2012) Cheng-Ting Lin et al.   ENERGY CONVERSION AND MANAGEMENT

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

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

Short-Term Load Forecasting Using Fuzzy Inductive Reasoning and Evolutionary Algorithms

(2010) V.H. Hinojosa et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

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

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