Generation Method of Multi-Regional Photovoltaic Output Scenarios-Set Using Conditional Generative Adversarial Networks

Development of Predictive Reliability Model of Solar Photovoltaic System Using Stochastic Diffusion Process for Distribution System

(2022) P Manohar et al.   IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Robust comprehensive PV hosting capacity assessment model for active distribution networks with spatiotemporal correlation

(2022) Han Wu et al.   APPLIED ENERGY

A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework

(2020) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Review of wind power scenario generation methods for optimal operation of renewable energy systems

(2020) Jinghua Li et al.   APPLIED ENERGY

Blockchain-Based Electric Vehicle Incentive System for Renewable Energy Consumption

(2020) Xi Chen et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Day‐ahead renewable scenario forecasts based on generative adversarial networks

(2020) Congmei Jiang et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

SolarGAN: Multivariate Solar Data Imputation Using Generative Adversarial Network

(2020) Wenjie Zhang et al.   IEEE Transactions on Sustainable Energy

Data-Driven Photovoltaic Generation Forecasting Based on a Bayesian Network With Spatial–Temporal Correlation Analysis

(2019) Ruiyuan Zhang et al.   IEEE Transactions on Industrial Informatics

Model-Free Renewable Scenario Generation Using Generative Adversarial Networks

(2018) Yize Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

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

Stochastic Look-Ahead Economic Dispatch With Variable Generation Resources

(2017) Yingzhong Gu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Wind power scenario generation through state-space specifications for uncertainty analysis of wind power plants

(2016) Guzmán Díaz et al.   APPLIED ENERGY

ANN-based scenario generation methodology for stochastic variables of electric power systems

(2016) Stylianos I. Vagropoulos et al.   ELECTRIC POWER SYSTEMS RESEARCH

Correlation Feature Selection and Mutual Information Theory Based Quantitative Research on Meteorological Impact Factors of Module Temperature for Solar Photovoltaic Systems

(2016) Yujing Sun et al.   Energies

A novel stochastic modeling method of wind power time series considering the fluctuation process characteristics

(2016) Chun Liu et al.   Journal of Renewable and Sustainable Energy

On the spatial decorrelation of stochastic solar resource variability at long timescales

(2015) Marc J.R. Perez et al.   SOLAR ENERGY

Electrical power fluctuations in a network of DC/AC inverters in a large PV plant: Relationship between correlation, distance and time scale

(2013) O. Perpiñán et al.   SOLAR ENERGY

Scenario Generation of Wind Power Based on Statistical Uncertainty and Variability

(2013) Xi-Yuan Ma et al.   IEEE Transactions on Sustainable Energy

Evaluating the quality of scenarios of short-term wind power generation

(2011) P. Pinson et al.   APPLIED ENERGY

Comparison of Scenario-Based and Interval Optimization Approaches to Stochastic SCUC

(2011) Lei Wu et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Monte Carlo approach to generator portfolio planning and carbon emissions assessments of systems with large penetrations of variable renewables

(2011) Elaine K. Hart et al.   RENEWABLE ENERGY

Conditional Prediction Intervals of Wind Power Generation

(2010) Pierre Pinson et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

ARIMA-Based Time Series Model of Stochastic Wind Power Generation

(2009) Peiyuan Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

MCMC for Wind Power Simulation

(2008) G. Papaefthymiou et al.   IEEE TRANSACTIONS ON ENERGY CONVERSION

From probabilistic forecasts to statistical scenarios of short-term wind power production

(2008) Pierre Pinson et al.   WIND ENERGY