CNN-LSTM: An efficient hybrid deep learning architecture for predicting short-term photovoltaic power production

Deep Learning Based Forecasting of Photovoltaic Power Generation by Incorporating Domain Knowledge

(2021) Xing Luo et al.   ENERGY

PV-Net: An innovative deep learning approach for efficient forecasting of short-term photovoltaic energy production

(2021) Mohamed Abdel-Basset et al.   Journal of Cleaner Production

A review and evaluation of the state-of-the-art in PV solar power forecasting: Techniques and optimization

(2020) R. Ahmed et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing

(2020) Spyros Theocharides et al.   APPLIED ENERGY

Forecast modeling and performance assessment of solar PV systems

(2020) Arechkik Ameur et al.   JOURNAL OF CLEANER PRODUCTION

Day-Ahead Photovoltaic Forecasting: A Comparison of the Most Effective Techniques

(2019) Alfredo Nespoli et al.   Energies

A review of deep learning for renewable energy forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

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

(2019) Hussein Sharadga et al.   RENEWABLE ENERGY

Prediction of short-term PV power output and uncertainty analysis

(2018) Luyao Liu et al.   APPLIED ENERGY

Short-Term Solar Power Forecasting Based on Weighted Gaussian Process Regression

(2018) Hanmin Sheng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

(2018) Weicong Kong et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies

(2018) Zhifeng Guo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Hybrid method for short-term photovoltaic power forecasting based on deep convolutional neural network

(2018) Haixiang Zang et al.   IET Generation Transmission & Distribution

Very short-term photovoltaic power forecasting with cloud modeling: A review

(2017) Florian Barbieri et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Multi-site solar power forecasting using gradient boosted regression trees

(2017) Caroline Persson et al.   SOLAR ENERGY

Univariate and multivariate methods for very short-term solar photovoltaic power forecasting

(2016) Mashud Rana et al.   ENERGY CONVERSION AND MANAGEMENT

Review of photovoltaic power forecasting

(2016) J. Antonanzas et al.   SOLAR ENERGY

A Physical Hybrid Artificial Neural Network for Short Term Forecasting of PV Plant Power Output

(2015) Alberto Dolara et al.   Energies

Short-term reforecasting of power output from a 48 MWe solar PV plant

(2015) Yinghao Chu et al.   SOLAR ENERGY

The Grid of the Future: Ten Trends That Will Shape the Grid Over the Next Decade

(2014) Devon Manz et al.   IEEE Power & Energy Magazine

A Grid-Friendly Plant: The Role of Utility-Scale Photovoltaic Plants in Grid Stability and Reliability

(2014) Mahesh Morjaria et al.   IEEE Power & Energy Magazine

Short-term forecasting of power production in a large-scale photovoltaic plant

(2014) A. Mellit et al.   SOLAR ENERGY

A hybrid model (SARIMA–SVM) for short-term power forecasting of a small-scale grid-connected photovoltaic plant

(2013) M. Bouzerdoum et al.   SOLAR ENERGY

Determination Method of Insolation Prediction With Fuzzy and Applying Neural Network for Long-Term Ahead PV Power Output Correction

(2013) Atsushi Yona et al.   IEEE Transactions on Sustainable Energy

Online 24-h solar power forecasting based on weather type classification using artificial neural network

(2011) Changsong Chen et al.   SOLAR ENERGY

A Matlab GUI for calculating the solar radiation and shading of surfaces on the earth

(2010) Bastian Keller et al.   COMPUTER APPLICATIONS IN ENGINEERING EDUCATION

RBF Neural Network and ANFIS-Based Short-Term Load Forecasting Approach in Real-Time Price Environment

(2008) Zhang Yun et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Artificial intelligence techniques for photovoltaic applications: A review

(2008) Adel Mellit et al.   PROGRESS IN ENERGY AND COMBUSTION SCIENCE