Wind turbine energy forecasting using real wind farm''s measurement
This study predicted wind power curves inspired by the Biologically Inspired Evolutionary Computation (BIEC) paradigm, incorporating Gene Expression Programming (GEP), Artificial Neural
Global Wind Atlas
The Global Wind Atlas is a free, web-based application developed to help policymakers, planners, and investors identify high-wind areas for wind power generation virtually anywhere in the world, and then
Uncertainty in wind: How data extrapolation impacts your project
The importance of establishing a well-structured measurement campaign could significantly impact the annual energy generation of a wind project. We work together with clients to
A database of hourly wind speed and modeled generation for US wind
The repository contains wind speeds and generation based on three different meteorological models: ERA5, MERRA2, and HRRR. Data are publicly accessible in simple csv files.
Uncovering and Correcting Major Biases in Wind Power
As nations accelerate their renewable energy transitions, precise measurement and forecasting of wind power potential have never been more critical.
Wind Energy Myths: What the Science Actually Says
Wind turbines now dot the landscape from the Great Plains to the Atlantic coast. But as wind infrastructure has grown, so has confusion about how it works and what it means for
A comparative analysis of real and theoretical data in offshore wind
The results indicate significant variations between real data and theoretical models on a comparative analysis of theoretical and actual wind power generation data for an offshore wind farm
Data Are Missing Again—Reconstruction of Power Generation Data
A higher weight for a closer neighbor means we are able to measure how close with an appropriate distance. We show how to use graph spectral theory to compute Laplacian eigenmaps, that is, new
Improving Predictability of Wind Power Generation Using Empirical Data
Improving the predictability of wind power generation is challenging for many reasons, one of which is a lack of empirical data, which are proprietary and confidential.
An overview of wind-energy-production prediction bias, losses,
Energy production of a wind turbine is a function of wind speed to its third power. Considering wind speed, either mea-sured, derived, or simulated, is a critical input to an energy estimation model, the