Predicting photovoltaic soiling losses using environmental parameters: An update

Photovoltaic mismatch losses caused by moving clouds

Mismatch losses is a major issue in the photovoltaic (PV) system and are mainly caused by partial shading; largest mismatch losses are caused by sharp shadows. These shadows are a typical problem for rooftop and residential installations. In large-scale PV plants, partial shading is mostly caused by moving clouds which produce gentle irradiance transitions causing typically only minor irradianc...

Neonatal Sepsis: An Update

Sepsis is the most common cause of neonatal mortality. As per National Neonatal-Perinatal Database (NNPD), 2002-2003, the incidence of neonatal sepsis in India was 30 per 1000 live births. Signs and symptoms of sepsis are nonspecific; therefore empirical antimicrobial therapy is promptly initiated after obtaining appropriate cultures. The early manifestations of neonatal sepsis are vague and il...

Predicting Cereal Root Disease in Western Australia Using Soil DNA and Environmental Parameters.

Root diseases have long been prevalent in Australian grain-growing regions, and most management decisions to reduce the risk of yield loss need to be implemented before the crop is sown. The levels of pathogens that cause the major root diseases can be measured using DNA-based services such as PreDicta B. Although these pathogens are often studied individually, in the field they often occur as ...

Predicting Atmospheric Parameters using Canonical Correlation Analysis

Predicting Extrusion Process Parameters Using Neural Networks

The objective of this paper is to estimate realistic principal extrusion process parameters by means of artificial neural network. Conventionally, finite element analysis is used to derive process parameters. However, the finite element analysis of the extrusion model does not consider the manufacturing process constraints in its modeling. Therefore, the process parameters obtained through such...