This paper aims at providing a general class of stochastic models for hourly average wind speed time series taking into account all the main features of wind speed data, namely autocorrelation, non-Gaussian distribution, seasonal and diurnal nonstationarity. It will be shown that the methodology developed in this study, tested using the data recorded in two sites of Italy, attains valuable results in terms both of modelling and forecasting
Udgivelsesdato: SeptemberWind energy has assumed a great relevance in the operation and planning of ...
Forecasting wind speed and direction is a challenging issue in the fi eld of meteorological researc...
Ten years of hourly average wind speed data were used to build a seasonal autoregressive integrated ...
This paper aims at providing a general class of stochastic models for hourly average wind speed tim...
This paper is concerned with the problem of developing a general class of stochastic models for hour...
Abstract: The stability and availability required on the electrical power systems with wind sources ...
The possibility of modelling observed wind speed time series and forecasting their future values is ...
The production of energy through wind turbines is increasing enormously in the latest years. To bett...
The increasing interest in renewable energy, particularly in wind, has given rise to the necessity o...
This paper provides a systematic method to build wind speed models based on stochastic differential ...
The prediction of wind speed is one of the most important aspects when dealing with renewable energy...
This study investigates the wind speed characteristics recorded in the urban area of Palermo, in the...
The prediction of wind speed is one of the most important aspects when dealing with renewable energy...
We propose the computation of different wind energy production indicators and financial profitabilit...
Stochastic models of local wind are illustrated in the paper. From each model a real-time predictor ...
Udgivelsesdato: SeptemberWind energy has assumed a great relevance in the operation and planning of ...
Forecasting wind speed and direction is a challenging issue in the fi eld of meteorological researc...
Ten years of hourly average wind speed data were used to build a seasonal autoregressive integrated ...
This paper aims at providing a general class of stochastic models for hourly average wind speed tim...
This paper is concerned with the problem of developing a general class of stochastic models for hour...
Abstract: The stability and availability required on the electrical power systems with wind sources ...
The possibility of modelling observed wind speed time series and forecasting their future values is ...
The production of energy through wind turbines is increasing enormously in the latest years. To bett...
The increasing interest in renewable energy, particularly in wind, has given rise to the necessity o...
This paper provides a systematic method to build wind speed models based on stochastic differential ...
The prediction of wind speed is one of the most important aspects when dealing with renewable energy...
This study investigates the wind speed characteristics recorded in the urban area of Palermo, in the...
The prediction of wind speed is one of the most important aspects when dealing with renewable energy...
We propose the computation of different wind energy production indicators and financial profitabilit...
Stochastic models of local wind are illustrated in the paper. From each model a real-time predictor ...
Udgivelsesdato: SeptemberWind energy has assumed a great relevance in the operation and planning of ...
Forecasting wind speed and direction is a challenging issue in the fi eld of meteorological researc...
Ten years of hourly average wind speed data were used to build a seasonal autoregressive integrated ...