Dataset for the identification of a ultra-low frequency multidirectional energy harvester for wind turbines
Year: 2024
Type: data-paper
Abstract: . The dataset also includes the measured power output generated in the coils. This dataset is intended to enable further research on vibration energy harvesters by providing experimental data for identification, model validation, and performance optimization, particularly in the context of energy harvesting in low-frequency and multidirectional environments, such as those encountered in wind turbines.
Source: Data in Brief
Language: English
Subfield: Mechanical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $850
Awards: G2610939040, G5943178430, G7033339772
OpenAlex ID: W4404554846
