Short-Term Net Load Forecasting with Singular Spectrum Analysis and LSTM Neural Networks

HousEEC: Day-Ahead Household Electrical Energy Consumption Forecasting Using Deep Learning

(2020) Ivana Kiprijanovska et al.   Energies

Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network

(2020) Sinvaldo Rodrigues Moreno et al.   ENERGY CONVERSION AND MANAGEMENT

The impact of wind power and electricity demand on the relevance of different short-term electricity markets: The Nordic case

(2020) Petr Spodniak et al.   APPLIED ENERGY

LSTM-MSNet: Leveraging Forecasts on Sets of Related Time Series With Multiple Seasonal Patterns

(2020) Kasun Bandara et al.   IEEE Transactions on Neural Networks and Learning Systems

Single and Multi-Sequence Deep Learning Models for Short and Medium Term Electric Load Forecasting

(2019) Salah Bouktif et al.   Energies

Wind power forecasting based on singular spectrum analysis and a new hybrid Laguerre neural network

(2019) Cong Wang et al.   APPLIED ENERGY

The impact of renewable energy forecast errors on imbalance volumes and electricity spot prices

(2019) Shadi Goodarzi et al.   ENERGY POLICY

Smart wind speed deep learning based multi-step forecasting model using singular spectrum analysis, convolutional Gated Recurrent Unit network and Support Vector Regression

(2019) Hui Liu et al.   RENEWABLE ENERGY

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

(2018) Ping-Huan Kuo et al.   Energies

Smart multi-step deep learning model for wind speed forecasting based on variational mode decomposition, singular spectrum analysis, LSTM network and ELM

(2018) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Wind speed forecasting approach based on Singular Spectrum Analysis and Adaptive Neuro Fuzzy Inference System

(2018) Sinvaldo Rodrigues Moreno et al.   RENEWABLE ENERGY

A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network

(2018) Chujie Tian et al.   Energies

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

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

Analysis and Modeling for Short- to Medium-Term Load Forecasting Using a Hybrid Manifold Learning Principal Component Model and Comparison with Classical Statistical Models (SARIMAX, Exponential Smoothing) and Artificial Intelligence Models (ANN, SVM): The Case of Greek Electricity Market

(2016) George Papaioannou et al.   Energies

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

(2012) Souhaib Ben Taieb et al.   EXPERT SYSTEMS WITH APPLICATIONS

Forecasting Time Series With Complex Seasonal Patterns Using Exponential Smoothing

(2012) Alysha M. De Livera et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION