Condition monitoring in wind turbines aims at detecting incipient faults at an early stage to
improve maintenance. Artificial neural networks are a tool from machine learning that is …

Given the increasing share of wind energy in the portfolio of energy sources, there is the need
for a more thorough understanding of its uncertainties due to changing weather conditions…

Hedonic land price models often use parcel size as an explanatory variable. Empirical analyses,
however, are rather ambiguous regarding the direction and the size of the effect of this …

To meet the increasing global demand for renewable energy, such as wind energy, an
increasing number of wind parks are being constructed worldwide. Finding a suitable location …

It is well known that the hedging effectiveness of weather derivatives is interfered by the
existence of geographical basis risk, ie, the deviation of weather conditions at different locations. …

Since wind energy is rapidly growing, new wind farms are installed worldwide and a discussion
is going on concerning the optimal political framework to promote this development. In …

Many business people such as farmers and financial investors are affected by indirect losses
caused by scarce or abundant rainfall. Because of the high potential of insuring rainfall risk, …

In this paper, we conduct a feasibility study of the wind energy potential in Gaza, which suffers
from a severe shortage of energy supplies. Our calculated energy harvested from the wind …

One major bottleneck in the ongoing COVID-19 pandemic is the limited number of critical
care beds. Due to the dynamic development of infections and the time lag between when …

Structural change in agriculture is characterized by the interdependency of farms’ growth
decisions due to the scarcity of agricultural land. This paper adds to the sparse empirical …