Forecasting Solar PV Output Using Convolutional Neural Networks with a Sliding Window Algorithm

Time Series ARIMA Model for Prediction of Daily and Monthly Average Global Solar Radiation: The Case Study of Seoul, South Korea

(2019) Mohammed Alsharif et al.   Symmetry-Basel

Short-term solar power forecast with deep learning: Exploring optimal input and output configuration

(2019) Yuchi Sun et al.   SOLAR ENERGY

Deep solar radiation forecasting with convolutional neural network and long short-term memory network algorithms

(2019) Sujan Ghimire et al.   APPLIED ENERGY

A novel convolutional neural network framework based solar irradiance prediction method

(2019) Na Dong et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Stochastic unit commitment in microgrids: Influence of the load forecasting error and the availability of energy storage

(2019) Lázaro Alvarado-Barrios et al.   RENEWABLE ENERGY

Weather forecasts for microgrid energy management: Review, discussion and recommendations

(2018) Agustín Agüera-Pérez et al.   APPLIED 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

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

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

Hourly PV production estimation by means of an exportable multiple linear regression model

(2018) Mauricio Trigo-González et al.   RENEWABLE ENERGY

Ian Goodfellow, Yoshua Bengio, and Aaron Courville: Deep learning

(2017) Jeff Heaton   Genetic Programming and Evolvable Machines