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

Deep learning of subsurface flow via theory-guided neural network

(2020) Nanzhe Wang et al.   JOURNAL OF HYDROLOGY

A parametric bootstrap algorithm for cluster number determination of load pattern categorization

(2019) Xing Luo et al.   ENERGY

A Sequence-to-Sequence Deep Learning Architecture Based on Bidirectional GRU for Type Recognition and Time Location of Combined Power Quality Disturbance

(2019) Yaping Deng et al.   IEEE Transactions on Industrial Informatics

Weather-Classification-MARS-Based Photovoltaic Power Forecasting for Energy Imbalance Market

(2019) Xiaoning Zhang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Time series prediction for output of multi-region solar power plants

(2019) Jianqin Zheng et al.   APPLIED ENERGY

Hourly day-ahead solar irradiance prediction using weather forecasts by LSTM

(2018) Xiangyun Qing et al.   ENERGY

Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China

(2018) Junliang Fan et al.   ENERGY CONVERSION AND MANAGEMENT

Data-Analytic-Based Adaptive Solar Energy Forecasting Framework

(2018) Yashar Sahraei Manjili et al.   IEEE Systems Journal

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

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

Risk identification and analysis for new energy power system in China based on D numbers and decision-making trial and evaluation laboratory (DEMATEL)

(2018) Shuaishuai Lin et al.   JOURNAL OF CLEANER PRODUCTION

Technological progress and industrial performance: A case study of solar photovoltaic industry

(2018) Zhao Xin-gang 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

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

Dependent Evidence Combination Based on Shearman Coefficient and Pearson Coefficient

(2018) Honghui Xu et al.   IEEE Access

Multi-GRU Prediction System for Electricity Generation's Planning and Operation

(2018) Weixian Li et al.   IET Generation Transmission & Distribution

Short-term and regionalized photovoltaic power forecasting, enhanced by reference systems, on the example of Luxembourg

(2018) Daniel Koster et al.   RENEWABLE ENERGY

Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting

(2018) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Entropy method combined with extreme learning machine method for the short-term photovoltaic power generation forecasting

(2016) Pingzhou Tang et al.   CHAOS SOLITONS & FRACTALS

Short term solar radiation forecasting: Island versus continental sites

(2016) John Boland et al.   ENERGY

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

(2016) Guochang Wang et al.   RENEWABLE ENERGY

Short-term solar irradiation forecasting based on Dynamic Harmonic Regression

(2015) Juan R. Trapero et al.   ENERGY

Comparison of different physical models for PV power output prediction

(2015) Alberto Dolara et al.   SOLAR ENERGY

An Improved Photovoltaic Power Forecasting Model With the Assistance of Aerosol Index Data

(2015) Jun Liu et al.   IEEE Transactions on Sustainable Energy

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

(2013) Yanting Li et al.   RENEWABLE ENERGY

Large scale integration of photovoltaics in cities

(2012) Aneta Strzalka et al.   APPLIED ENERGY

AIC model selection and multimodel inference in behavioral ecology: some background, observations, and comparisons

(2010) Kenneth P. Burnham et al.   BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY

Predicting solar radiation at high resolutions: A comparison of time series forecasts

(2008) Gordon Reikard   SOLAR ENERGY