jadenuss Goto Github PK

advancedsolarirradiancetheory

Jupyter notebook on the second part of the lecture: Probabilistic forecasting

band-gaps

california_renewable_energy_prod

Using L1 and L2 penalized regressions (LASSO and Ridge) to predict solar energy production by geolocation. Input data includes the historical weather forecast and various other features of atmospheric data such as radiance and humidity.

energymarket

This repo contains script to aid in playing the SET3055 Energy Market Simulation game at TU Delft.

geothermics

Educational repository with Jupyter Notebooks all around the topic of geothermal energy

highdim_dataanal_course

Harvard High Dimensional Data Analysis course

jade-spython101

Final Project

machine_learning_perovskite_tutorial

Tutorial for performing machine learning to predict band gaps from the K computer double perovskite dataset

maui-smart-grid

Data Science Software for the Maui Smart Grid Project.

pythia

JgAiDtE

python-galaxy

Analysis of COMBO-17 Galaxy Dataset, including galaxy luminosities and evaluation of redshift/ blueshift corrections for photon flux densities

python101

python4windenergy

This is a repository to gather the teaching material used for the course Python for Wind Energy organised at DTU Wind Energy

solar-irradiance-notebook

solar-radiance---nasa-power

Analysis of solar radiance at one point using the NASA POWER API

spider-guns-cnc

Run the SG System/Product in 195 counties

tu-delft-solar-photovoltaics

Jupiter notebooks

univision