DicleD's repositories

wind-energy-analytics

Physics-guided data-driven solutions for the wind energy industry

License:BSD-3-ClauseStargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
License:MITStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

weibull-energy-assessment

This project provides a framework for evaluating the wind resource and energy production given weibull wind resource paramters at a given site.

Stargazers:0Issues:0Issues:0
Language:PythonStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Language:Jupyter NotebookStargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0
Stargazers:0Issues:0Issues:0

Pandas-exercises

Collection of pandas exercises

Stargazers:0Issues:0Issues:0

Power_Curve_Estimation

Wind energy is one of the fastest growing renewable energy sources. According to a report issued by the U.S. Department of Energy (DOE), wind power installation in the United States increased by nearly a factor of 10 in the past decade, from 6350 megawatts (MW) in 2003 to 61,108 MW by the end of 2013 (DOE 2014). The DOE advocates working toward the goal that wind power accounts for 20% of the total electricity generated in the United States by 2030 (DOE 2008).

Stargazers:0Issues:0Issues:0

powerCurve

Utilties / scripts for taking time series wind data and itegrating turbine power curve to show energy output

Stargazers:0Issues:0Issues:0