Data Analysis, Statistics and Probability · Physics
Reliability measures of second order semi-Markov chain applied to wind energy production
Guglielmo D'Amico, Filippo Petroni, Flavio Prattico
2013-01-08
Data Analysis, Statistics and Probability · Physics
Reliability measures for indexed semi-Markov chains applied to wind energy production
Guglielmo D'Amico, Filippo Petroni, Flavio Prattico
2013-11-27
Data Analysis, Statistics and Probability · Physics
First and second order semi-Markov chains for wind speed modeling
Guglielmo D'Amico, Filippo Petroni, Flavio Prattico
2015-06-05
Data Analysis, Statistics and Probability · Physics
Wind speed modeled as an indexed semi-Markov process
Guglielmo D'Amico, Filippo Petroni, Flavio Prattico
2012-09-10
Data Analysis, Statistics and Probability · Physics
Forecasting wind speed financial return
Guglielmo D'Amico, Filippo Petroni, Flavio Prattico
2013-12-16
Data Analysis, Statistics and Probability · Physics
Performance Indicators of Wind Energy Production
G. D'Amico, F. Petroni, F. Prattico
2015-02-12
Data Analysis, Statistics and Probability · Physics
Wind speed forecasting at different time scales: a non parametric approach
Guglielmo D'Amico, Filippo Petroni, Flavio Prattico
2015-06-15
Data Analysis, Statistics and Probability · Physics
Uncovering wind turbine properties through two-dimensional stochastic modeling of wind dynamics
Frank Raischel, Teresa Scholz, Vitor V. Lopes, Pedro G. Lind
2015-06-11
Optimization and Control · Mathematics
Backward Approximate Dynamic Programming with Hidden Semi-Markov Stochastic Models in Energy Storage Optimization
Joseph L. Durante, Juliana Nascimento, Warren B. Powell
2020-02-04
Applications · Statistics
Modelling a storage system of a wind farm with a ramp-rate limitation: a semi-Markov modulated Brownian bridge approach
Abel Azze, Guglielmo D'Amico, Bernardo D'Auria, Salvatore Vergine
2025-01-30
Systems and Control · Electrical Eng. & Systems
Energy Optimization of Wind Turbines via a Neural Control Policy Based on Reinforcement Learning Markov Chain Monte Carlo Algorithm
Vahid Tavakol Aghaei, Arda Ağababaoğlu, Biram Bawo, Peiman Naseradinmousavi +3
2023-03-14
Data Analysis, Statistics and Probability · Physics
A cyclic time-dependent Markov process to model daily patterns in wind turbine power production
Teresa Scholz, Vitor V. Lopes, Ana Estanqueiro
2013-10-14
Machine Learning · Computer Science
Wind power predictions from nowcasts to 4-hour forecasts: a learning approach with variable selection
Dimitri Bouche, Rémi Flamary, Florence d'Alché-Buc, Riwal Plougonven +3
2022-12-14
Machine Learning · Computer Science
Physics Informed Shallow Machine Learning for Wind Speed Prediction
Daniele Lagomarsino-Oneto, Giacomo Meanti, Nicolò Pagliana, Alessandro Verri +3
2022-04-04
Data Analysis, Statistics and Probability · Physics
Modeling long correlation times using additive binary Markov chains: applications to wind generation time series
Juliane Weber, Christopher Zachow, Dirk Witthaut
2018-04-04
Applications · Statistics
A Case Study of Space-time Performance Comparison of Wind Turbines on a Wind Farm
Yu Ding, Nitesh Kumar, Abhinav Prakash, Adaiyibo E. Kio +3
2021-03-22
Signal Processing · Electrical Eng. & Systems
Spatio-temporal estimation of wind speed and wind power using machine learning: predictions, uncertainty and technical potential
Federico Amato, Fabian Guignard, Alina Walch, Nahid Mohajeri +2
2022-07-19
Applications · Statistics
Application of a new information priority accumulated grey model with time power to predict short-term wind turbine capacity
Jie Xia, Xin Ma, Wenqing Wu, Baolian Huang +1
2019-10-22