Ultra-short-term exogenous forecasting of photovoltaic power production using genetically optimized non-linear auto-regressive recurrent neural networks

Modeling the forecasted power of a photovoltaic generator using numerical weather prediction and radiative transfer models coupled with a behavioral electrical model

(2020) A. Razagui et al.   Energy Reports

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

A novel competitive swarm optimized RBF neural network model for short-term solar power generation forecasting

(2020) Zhile Yang et al.   NEUROCOMPUTING

Photovoltaic power forecast using empirical models and artificial intelligence approaches for water pumping systems

(2020) Rim Ben Ammar et al.   RENEWABLE ENERGY

Adjustment of the Angstrom-Prescott equation from Campbell-Stokes and Kipp-Zonen sunshine measures at different timescales in Spain

(2020) Javier Almorox et al.   RENEWABLE ENERGY

Implicit regression-based correlations to predict the back temperature of PV modules in the arid region of south Algeria

(2020) Nadjem Bailek et al.   RENEWABLE ENERGY

An intuitive framework for optimizing energetic and exergetic performances of parabolic trough solar collectors operating with nanofluids

(2020) Mohamed Abubakr et al.   RENEWABLE ENERGY

A profile-free non-parametric approach towards generation of synthetic hourly global solar irradiation data from daily totals

(2020) Muhammed A. Hassan et al.   RENEWABLE ENERGY

On the Assessment of a Numerical Weather Prediction Model for Solar Photovoltaic Power Forecasts in Cities

(2019) Harold Gamarro et al.   JOURNAL OF ENERGY RESOURCES TECHNOLOGY-TRANSACTIONS OF THE ASME

Review on forecasting of photovoltaic power generation based on machine learning and metaheuristic techniques

(2019) Muhammad Naveed Akhter et al.   IET Renewable Power Generation

A soft computing approach for estimating the specific heat capacity of molten salt-based nanofluids

(2019) Muhammed A. Hassan et al.   JOURNAL OF MOLECULAR LIQUIDS

Energy and economic efficiency performance assessment of a 28 kWp photovoltaic grid-connected system under desertic weather conditions in Algerian Sahara

(2019) Nordine Sahouane et al.   RENEWABLE ENERGY

Renewable energy prediction: A novel short-term prediction model of photovoltaic output power

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

Estimating the global solar irradiation and optimizing the error estimates under Algerian desert climate

(2019) Kada Bouchouicha et al.   RENEWABLE ENERGY

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

(2019) Kejun Wang et al.   APPLIED ENERGY

Prediction short-term photovoltaic power using improved chicken swarm optimizer - Extreme learning machine model

(2019) Zhi-Feng Liu et al.   JOURNAL OF CLEANER PRODUCTION

Short-term wind speed prediction model based on GA-ANN improved by VMD

(2019) Yagang Zhang et al.   RENEWABLE ENERGY

Solar photovoltaic generation forecasting methods: A review

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

Online 3-h forecasting of the power output from a BIPV system using satellite observations and ANN

(2018) S. Rosiek et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Revisiting feed-in tariffs in Australia: A review

(2018) Lavinia Poruschi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Forecasting of photovoltaic power generation and model optimization: A review

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

Improved satellite-derived PV power nowcasting using real-time power data from reference PV systems

(2018) Jamie M. Bright et al.   SOLAR ENERGY

Effect of sand dust accumulation on photovoltaic performance in the Saharan environment: southern Algeria (Adrar)

(2018) Mohammed Mostefaoui et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

SVR-Based Model to Forecast PV Power Generation under Different Weather Conditions

(2017) Utpal Das et al.   Energies

Forecasting degradation rates of different photovoltaic systems using robust principal component analysis and ARIMA

(2017) Elena Pieri et al.   IET Renewable Power Generation

Analysis and validation of 24 hours ahead neural network forecasting of photovoltaic output power

(2017) S. Leva et al.   MATHEMATICS AND COMPUTERS IN SIMULATION

Data-driven upscaling methods for regional photovoltaic power estimation and forecast using satellite and numerical weather prediction data

(2017) Marco Pierro et al.   SOLAR ENERGY

Photovoltaic forecast based on hybrid PCA–LSSVM using dimensionality reducted data

(2016) M. Malvoni et al.   NEUROCOMPUTING

A study on the minimum duration of training data to provide a high accuracy forecast for PV generation between two different climatic zones

(2016) Minh-Thang Do et al.   RENEWABLE ENERGY

An artificial neural network to assess the impact of neighbouring photovoltaic systems in power forecasting in Utrecht, the Netherlands

(2016) A.G.R. Vaz et al.   RENEWABLE ENERGY

Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method

(2016) Shouxiang Wang et al.   RENEWABLE ENERGY

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

(2015) Alberto Dolara et al.   Energies

NARX-Based Short-Term Forecasting of Water Flow Rate of a Photovoltaic Pumping System: A Case Study

(2015) Sofiane Haddad et al.   JOURNAL OF SOLAR ENERGY ENGINEERING-TRANSACTIONS OF THE ASME

Comparison of different physical models for PV power output prediction

(2015) Alberto Dolara et al.   SOLAR ENERGY

Photovoltaic power forecasting using statistical methods: impact of weather data

(2014) Maria Grazia De Giorgi et al.   IET Science Measurement & Technology

A Weather-Based Hybrid Method for 1-Day Ahead Hourly Forecasting of PV Power Output

(2014) Hong-Tzer Yang et al.   IEEE Transactions on Sustainable Energy

General models for estimating daily global solar radiation for different solar radiation zones in mainland China

(2013) Mao-Fen Li et al.   ENERGY CONVERSION AND MANAGEMENT

An ARMAX model for forecasting the power output of a grid connected photovoltaic system

(2013) Yanting Li et al.   RENEWABLE ENERGY

The Dark Horse of Evaluating Long-Term Field Performance—Data Filtering

(2013) Dirk C. Jordan et al.   IEEE Journal of Photovoltaics

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

Fuzzy Rules Interpolation for Sparse Fuzzy Rule-Based Systems Based on Interval Type-2 Gaussian Fuzzy Sets and Genetic Algorithms

(2012) Shyi-Ming Chen et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Assessment of forecasting techniques for solar power production with no exogenous inputs

(2012) Hugo T.C. Pedro et al.   SOLAR ENERGY

Proposal of a regressive model for the hourly diffuse solar radiation under all sky conditions

(2009) J.A. Ruiz-Arias et al.   ENERGY CONVERSION AND MANAGEMENT

Artificial intelligence techniques for photovoltaic applications: A review

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