Hybrid solar/wind power system probabilistic modelling for long-term performance assessment

By G. Marco Tina, S. Gagliano, S. Raiti. 2006

450 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Pollution, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/19dc5f423d9a3d78a47a30c3aaf034c4d0fcace7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Hongxing Yang
2. Lin Lu
3. Wenyuan Li

In Pollution

1. Mousa Marzband

Citations in the corpus

• Chronological Probability Model of Photovoltaic Generation (2014, background): “Another approach is to derive a parametric probability model of PV power [7], [8] based on an assumption of the probability distribution function of clearness index [9].”
• Non-cooperative game theory based energy management systems for energy district in the retail market considering DER uncertainties (2016, background): “hourly distribution can be divided into five sections similar 343 to Weibull distribution model for wind speed which is illus344 trated in Figure 5 [30].”
• OPTIMAL SIZING METHOD FOR STAND-ALONE HYBRID SOLAR–WIND SYSTEM WITH LPSP TECHNOLOGY BY USING GENETIC ALGORITHM (2008, methodology): “Tina et al. (2006) presented a probabilistic approach based on the convolution technique to incorporate the fluctuating nature of the resources and the load, thus eliminating the need for time-series data, to assess the long-term performance of a hybrid solar–wind system for both stand-alone and gr”