Convolutional-LSTM networks and generalization in forecasting of household photovoltaic generation

A CNN–LSTM model for gold price time-series forecasting

(2020) Ioannis E. Livieris et al.   NEURAL COMPUTING & APPLICATIONS

Application of LSTM for short term fog forecasting based on meteorological elements

(2020) Kai-chao Miao et al.   NEUROCOMPUTING

Time series forecasting of COVID-19 transmission in Canada using LSTM networks

(2020) Vinay Kumar Reddy Chimmula et al.   CHAOS SOLITONS & FRACTALS

Time series forecasting with feedforward neural networks trained using particle swarm optimizers for dynamic environments

(2020) Salihu A. Abdulkarim et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid approaches based on deep whole-sky-image learning to photovoltaic generation forecasting

(2020) Weicong Kong et al.   APPLIED ENERGY

Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting

(2020) M.O. Moreira et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep Learning for Time Series Forecasting: A Survey

(2020) José F. Torres et al.   Big Data

Novel Deep Learning-Enabled LSTM Autoencoder Architecture for Discovering Anomalous Events From Intelligent Transportation Systems

(2020) Javed Ashraf et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Rice Blast Disease Recognition Using a Deep Convolutional Neural Network

(2019) Wan-jie Liang et al.   Scientific Reports

A methodology for energy multivariate time series forecasting in smart buildings based on feature selection

(2019) Aurora González-Vidal et al.   ENERGY AND BUILDINGS

Image Classification Benchmark (ICB)

(2019) Manuel Caldeira et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time series forecasting of solar power generation for large-scale photovoltaic plants

(2019) Hussein Sharadga et al.   RENEWABLE ENERGY

Solar photovoltaic generation forecasting methods: A review

(2018) Sobrina Sobri et al.   ENERGY CONVERSION AND MANAGEMENT

Forecasting of photovoltaic power generation and model optimization: A review

(2018) Utpal Kumar Das et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Review on probabilistic forecasting of photovoltaic power production and electricity consumption

(2018) D.W. van der Meer et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on time series forecasting techniques for building energy consumption

(2017) Chirag Deb et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Solar forecasting methods for renewable energy integration

(2013) Rich H. Inman et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE