Publication

Combining Weather Station Data and Short-Term LiDAR Deployment to Estimate Wind Energy Potential with Machine Learning: A Case Study from the Swiss Alps

Related publications (47)

About
Privacy
Disclaimer

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.

Combining Weather Station Data and Short-Term LiDAR Deployment to Estimate Wind Energy Potential with Machine Learning: A Case Study from the Swiss Alps

Graph Chatbot

Chat with Graph Search

The complex winds of the Alps: an unseen asset for the energy transition

Numerical Weather Prediction and Artificial Neural Network Coupling for Wind Energy Forecast

Effects of biogenic surfactants on the spatial variability of surface water temperature under low-wind conditions

Multi-Resolution Convolutional Neural Network for High-Resolution Downscaling of Wind Fields from Operational Weather Prediction Models in Complex Terrain

Gravity Wave Excitation during the Coastal Transition of an Extreme Katabatic Flow in Antarctica

Radial wind velocity retrieval from Doppler radar and lidar measurements using Deep Learning

NUMERICAL WEATHER MODELS FOR RESOURCE ASSESSMENT OF ALPINE WIND POWER

Potential and uncertainty of wind energy in the Swiss Alps

Short-Term Forecasting of Wake-Induced Fluctuations in Offshore Wind Farms

Wind profile prediction in an urban canyon: a machine learning approach