Energy production is one of the key enablers for human activities such as food and clean
water production, transportation, telecommunication, education, and healthcare; however, it …

Data-driven techniques can enable enhanced insights into wind turbine operations by
efficiently extracting information from turbine data. This work outlines a data-driven strategy …

Physics-Informed Neural Networks (PINNs) serve as a flexible alternative for tackling
forward and inverse problems in differential equations, displaying impressive advancements …

Wind turbine wake poses a significant challenge in wind farm operations, affecting power
generation efficiency. This study introduces a Dynamic Wake Flow Estimation (DWFE) …

The increasing size and clustering of wind turbines have amplified wake effects, reducing
wind farm power generation. For this reason, a multi-priority control strategy based on axial …

Deep learning has gained attention as a potentially powerful technique for modeling natural-
state geothermal systems; however, its physical validity and prediction inaccuracy at …

The operational challenges offshore wind farms face detract from their financial viability,
driving a growing interest in optimal control strategies to make wind power both sustainable …

Precise wave forecasts are essential for many coastal communities as they help ensuring
safe maritime operations, mitigation of coastal hazards, and the enjoyment of marine …

In fluid dynamics research, high-resolution flow field reconstruction based on data-driven
techniques is a highly sought-after field. Most studies rely on expensive datasets for …

This paper presents the design and development of a swarm of four wind sensing MAVs
equipped with custom four-hole pressure probes to record airspeed and direction at up to …