Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting

Impact of lockdown measures during COVID-19 on air quality– A case study of India

(2020) Pratima Kumari et al.   INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH

A comprehensive review of hybrid models for solar radiation forecasting

(2020) Mawloud Guermoui et al.   JOURNAL OF CLEANER PRODUCTION

Extreme gradient boosting and deep neural network based ensemble learning approach to forecast hourly solar irradiance

(2020) Pratima Kumari et al.   JOURNAL OF CLEANER PRODUCTION

Hourly forecasting of solar irradiance based on CEEMDAN and multi-strategy CNN-LSTM neural networks

(2020) Bixuan Gao et al.   RENEWABLE ENERGY

Impact of lockdown on air quality over major cities across the globe during COVID-19 pandemic

(2020) Pratima Kumari et al.   Urban Climate

Repeated wavelet transform based ARIMA model for very short-term wind speed forecasting

(2019) Aasim et al.   RENEWABLE ENERGY

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

Recurrent Neural Network and random forest for analysis and accurate forecast of atmospheric pollutants: A case study in Hangzhou, China

(2019) Rui Feng et al.   JOURNAL OF CLEANER PRODUCTION

Universality of deep convolutional neural networks

(2019) Ding-Xuan Zhou   APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS

Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks

(2019) Oussama Laib et al.   ENERGY

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Forecasting model for wind power integrating least squares support vector machine, singular spectrum analysis, deep belief network, and locality‐sensitive hashing

(2019) Arslan Habib et al.   WIND ENERGY

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

A short-term solar radiation forecasting system for the Iberian Peninsula. Part 1: Models description and performance assessment

(2019) Francisco J. Rodríguez-Benítez et al.   SOLAR ENERGY

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Solar PV output prediction from video streams using convolutional neural networks

(2018) Yuchi Sun et al.   Energy & Environmental Science

Smart deep learning based wind speed prediction model using wavelet packet decomposition, convolutional neural network and convolutional long short term memory network

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

Solar photovoltaic generation forecasting methods: A review

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

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data

(2018) Osama Abdeljaber et al.   NEUROCOMPUTING

Recent advances in convolutional neural networks

(2018) Jiuxiang Gu et al.   PATTERN RECOGNITION

Analysis of different combinations of meteorological parameters in predicting the horizontal global solar radiation with ANN approach: A case study

(2018) D.V. Siva Krishna Rao K et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modeling of uncertainty of solar irradiance forecasts on numerical weather predictions with the estimation of multiple confidence intervals

(2018) Akinobu Murata et al.   RENEWABLE ENERGY

Assessment of SVM, empirical and ANN based solar radiation prediction models with most influencing input parameters

(2018) R. Meenal et al.   RENEWABLE ENERGY

A comparative study of LSTM neural networks in forecasting day-ahead global horizontal irradiance with satellite data

(2018) Shikhar Srivastava et al.   SOLAR ENERGY

Estimation of daily global solar radiation using deep learning model

(2018) Kazım Kaba et al.   ENERGY

Application of support vector machine models for forecasting solar and wind energy resources: A review

(2018) Alireza Zendehboudi et al.   JOURNAL OF CLEANER PRODUCTION

Clustered ANFIS network using fuzzy c-means, subtractive clustering, and grid partitioning for hourly solar radiation forecasting

(2018) Khalil Benmouiza et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal

(2018) Yong Qin et al.   APPLIED ENERGY

Forecast of hourly global horizontal irradiance based on structured Kernel Support Vector Machine: A case study of Tibet area in China

(2017) He Jiang et al.   ENERGY CONVERSION AND MANAGEMENT

DeepCloud: Ground-Based Cloud Image Categorization Using Deep Convolutional Features

(2017) Liang Ye et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Deep Neural Networks for Wind and Solar Energy Prediction

(2017) David Díaz–Vico et al.   NEURAL PROCESSING LETTERS

Day-Ahead Prediction of Wind Speed with Deep Feature Learning

(2016) Jie Wan et al.   INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE

A regime-dependent artificial neural network technique for short-range solar irradiance forecasting

(2016) T.C. McCandless et al.   RENEWABLE ENERGY

Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study

(2015) Makbul A.M. Ramli et al.   ENERGY CONVERSION AND MANAGEMENT

A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation

(2015) Shahaboddin Shamshirband et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A benchmarking of machine learning techniques for solar radiation forecasting in an insular context

(2015) Philippe Lauret et al.   SOLAR ENERGY

High-Precision Forecasting Model of Solar Irradiance Based on Grid Point Value Data Analysis for an Efficient Photovoltaic System

(2015) Ahmad Syahiman Bin Mohd Shah et al.   IEEE Transactions on Sustainable Energy

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models

(2014) Amit Kumar Yadav et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Solar irradiance forecasting using a ground-based sky imager developed at UC San Diego

(2014) Handa Yang et al.   SOLAR ENERGY

Comparison of numerical weather prediction solar irradiance forecasts in the US, Canada and Europe

(2013) Richard Perez et al.   SOLAR ENERGY

Forecasting solar radiation on an hourly time scale using a Coupled AutoRegressive and Dynamical System (CARDS) model

(2012) Jing Huang et al.   SOLAR ENERGY

Solar power generation in the US: Too expensive, or a bargain?

(2011) Richard Perez et al.   ENERGY POLICY

A review on time series data mining

(2010) Tak-chung Fu   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

The potential of different artificial neural network (ANN) techniques in daily global solar radiation modeling based on meteorological data

(2010) M.A. Behrang et al.   SOLAR ENERGY

Predicting solar radiation at high resolutions: A comparison of time series forecasts

(2008) Gordon Reikard   SOLAR ENERGY