PV power prediction in a peak zone using recurrent neural networks in the absence of future meteorological information

Recurrent Neural Network-Based Hourly Prediction of Photovoltaic Power Output Using Meteorological Information

(2019) Donghun Lee et al.   Energies

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

(2019) Kejun Wang et al.   APPLIED ENERGY

A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data

(2019) Hou Jiang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2019) Hussein Sharadga et al.   RENEWABLE ENERGY

Optimal daily generation scheduling of large hydro–photovoltaic hybrid power plants

(2018) Bo Ming et al.   ENERGY CONVERSION AND MANAGEMENT

Solar photovoltaic generation forecasting methods: A review

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

The networking dynamics of the Italian biofuel industry in time of crisis: Finding an effective instrument mix for fostering a sustainable energy transition

(2018) Pasquale Marcello Falcone et al.   ENERGY POLICY

Solar–hydro hybrid power station as a way to smooth power output and increase water retention

(2018) Jakub Jurasz et al.   SOLAR ENERGY

Deep learning networks for stock market analysis and prediction: Methodology, data representations, and case studies

(2017) Eunsuk Chong et al.   EXPERT SYSTEMS WITH APPLICATIONS

A review of technical issues on the development of solar photovoltaic systems

(2017) C. Lupangu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines

(2016) Yanting Li et al.   APPLIED ENERGY

Comparison of strategies for multi-step ahead photovoltaic power forecasting models based on hybrid group method of data handling networks and least square support vector machine

(2016) M.G. De Giorgi et al.   ENERGY

Deep Convolutional and LSTM Recurrent Neural Networks for Multimodal Wearable Activity Recognition

(2016) Francisco Ordóñez et al.   SENSORS

On recent advances in PV output power forecast

(2016) Muhammad Qamar Raza et al.   SOLAR ENERGY

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

(2013) Yanting Li et al.   RENEWABLE ENERGY

Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines

(2012) Jie Shi et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Short-term solar power prediction using a support vector machine

(2012) Jianwu Zeng et al.   RENEWABLE ENERGY

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

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

Use of support vector regression and numerically predicted cloudiness to forecast power output of a photovoltaic power plant in Kitakyushu, Japan

(2011) Joao Gari da Silva Fonseca et al.   PROGRESS IN PHOTOVOLTAICS

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

(2011) Changsong Chen et al.   SOLAR ENERGY

Short–mid-term solar power prediction by using artificial neural networks

(2011) Ercan İzgi et al.   SOLAR ENERGY

Irradiance Forecasting for the Power Prediction of Grid-Connected Photovoltaic Systems

(2009) Elke Lorenz et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Online short-term solar power forecasting

(2009) Peder Bacher et al.   SOLAR ENERGY

The merit-order effect: A detailed analysis of the price effect of renewable electricity generation on spot market prices in Germany

(2008) Frank Sensfuß et al.   ENERGY POLICY