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

Day-ahead spatiotemporal solar irradiation forecasting using frequency-based hybrid principal component analysis and neural network

(2019) Hai Lan et al.   APPLIED ENERGY

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

(2019) Kejun Wang et al.   APPLIED ENERGY

Carbon trading volume and price forecasting in China using multiple machine learning models

(2019) Hongfang Lu et al.   JOURNAL OF CLEANER PRODUCTION

Day-ahead spatio-temporal forecasting of solar irradiation along a navigation route

(2018) Hai Lan et al.   APPLIED ENERGY

The combined value of wind and solar power forecasting improvements and electricity storage

(2018) Bri-Mathias Hodge et al.   APPLIED ENERGY

Multi-step wind speed forecasting using EWT decomposition, LSTM principal computing, RELM subordinate computing and IEWT reconstruction

(2018) Yanfei Li 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

Short-term photovoltaic solar power forecasting using a hybrid Wavelet-PSO-SVM model based on SCADA and Meteorological information

(2018) Abinet Tesfaye Eseye et al.   RENEWABLE ENERGY

A decomposition-clustering-ensemble learning approach for solar radiation forecasting

(2018) Shaolong Sun et al.   SOLAR ENERGY

History and trends in solar irradiance and PV power forecasting: A preliminary assessment and review using text mining

(2018) Dazhi Yang et al.   SOLAR ENERGY

Forecasting solar irradiance at short horizons: Frequency and time domain models

(2018) Gordon Reikard et al.   RENEWABLE ENERGY

Speech emotion recognition using deep 1D & 2D CNN LSTM networks

(2018) Jianfeng Zhao et al.   Biomedical Signal Processing and Control

Wind speed prediction model using singular spectrum analysis, empirical mode decomposition and convolutional support vector machine

(2018) Xiwei Mi et al.   ENERGY CONVERSION AND MANAGEMENT

Assessment of deep recurrent neural network-based strategies for short-term building energy predictions

(2018) Cheng Fan et al.   APPLIED ENERGY

Fast short-term global solar irradiance forecasting with wrapper mutual information

(2018) Hassen Bouzgou et al.   RENEWABLE ENERGY

A fuzzy regression with support vector machine approach to the estimation of horizontal global solar radiation

(2017) Furkan Baser et al.   ENERGY

Hourly forecasting of global solar radiation based on multiscale decomposition methods: A hybrid approach

(2017) Stéphanie Monjoly et al.   ENERGY

Short-term cloud coverage prediction using the ARIMA time series model

(2017) Yu Wang et al.   Remote Sensing Letters

Modeling diffuse irradiance under arbitrary and homogeneous skies: Comparison and validation

(2016) Miroslav Kocifaj et al.   APPLIED ENERGY

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

(2016) Ravinesh C. Deo et al.   APPLIED ENERGY

A hybrid method based on a new clustering technique and multilayer perceptron neural networks for hourly solar radiation forecasting

(2016) R. Azimi et al.   ENERGY CONVERSION AND MANAGEMENT

One-day-ahead daily power forecasting of photovoltaic systems based on partial functional linear regression models

(2016) Guochang Wang et al.   RENEWABLE ENERGY

Preprocessing WRF initial conditions for coastal stratocumulus forecasting

(2016) Handa Yang et al.   SOLAR ENERGY

On recent advances in PV output power forecast

(2016) Muhammad Qamar Raza et al.   SOLAR ENERGY

Wind speed forecasting approach using secondary decomposition algorithm and Elman neural networks

(2015) Hui Liu et al.   APPLIED ENERGY

Optimal design of an autonomous solar–wind-pumped storage power supply system

(2015) Tao Ma et al.   APPLIED ENERGY

A novel hybrid approach based on self-organizing maps, support vector regression and particle swarm optimization to forecast solar irradiance

(2015) Zibo Dong et al.   ENERGY

A new hybrid support vector machine–wavelet transform approach for estimation of horizontal global solar radiation

(2015) Kasra Mohammadi et al.   ENERGY CONVERSION AND MANAGEMENT

Unified model of radiance patterns under arbitrary sky conditions

(2015) Miroslav Kocifaj   SOLAR ENERGY

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

(2015) Philippe Lauret et al.   SOLAR ENERGY

Artificial neural network based daily local forecasting for global solar radiation

(2014) Badia Amrouche et al.   APPLIED ENERGY

A novel M-D (multi-dimensional) linear prediction filter approach for hourly solar radiation forecasting

(2014) Emre Akarslan et al.   ENERGY

Missing Data Imputation of Solar Radiation Data under Different Atmospheric Conditions

(2014) Concepción Turrado et al.   SENSORS

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

(2013) Richard Perez et al.   SOLAR ENERGY

Hybrid methodology for hourly global radiation forecasting in Mediterranean area

(2012) Cyril Voyant et al.   RENEWABLE ENERGY

Angular distribution of scattered radiation under broken cloud arrays: An approximation of successive orders of scattering

(2012) M. Kocifaj   SOLAR ENERGY

Hourly solar irradiance time series forecasting using cloud cover index

(2012) Dazhi Yang et al.   SOLAR ENERGY

Ensemble empirical mode decomposition for high frequency ECG noise reduction

(2010) Kang-Ming Chang   Biomedical Engineering-Biomedizinische Technik

Validation of short and medium term operational solar radiation forecasts in the US

(2010) Richard Perez et al.   SOLAR ENERGY

Empirical Mode Decomposition for Trivariate Signals

(2009) N. ur Rehman et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

Sky luminance/radiance model with multiple scattering effect

(2009) M. Kocifaj   SOLAR ENERGY