Abstract Condition-based maintenance using routinely collected Supervisory Control and Data Acquisition (SCADA) data is a promising strategy to reduce downtime costs associated with wind farm operations maintenance. New approaches are continuously being developed improve the condition monitoring for turbines. Development of normal behaviour models popular approach in studies SCADA data. This pa...

This paper obtains asymptotic results for parametric inference using prediction-based estimating functions when the data are high-frequency observations of a diffusion process with an infinite time horizon. Specifically, at n equidistant points $$\Delta _n i$$ , and scenario is \rightarrow 0$$ $$n\Delta \infty$$ . For useful tractable classes functions, existence consistent estimator proved und...

This is the first paper that estimates price determinants of Bitcoin in a generalized autoregressive conditional heteroscedasticity (GARCH) framework using high-frequency data. Derived from theoretical model, we structurally estimate transaction demand and speculative models hourly data for 2013–21. In line with hypothesis, our empirical results confirm both have statistically significant impac...