Solar Radiation Prediction
Task from NASA Hackathon
@kaggle.dronio_solarenergy
Task from NASA Hackathon
@kaggle.dronio_solarenergy
Space Apps Moscow was held on April 29th & 30th. Thank you to the 175 people who joined the International Space Apps Challenge at this location!
The dataset contains such columns as: "wind direction", "wind speed", "humidity" and temperature. The response parameter that is to be predicted is: "Solar_radiation". It contains measurements for the past 4 months and you have to predict the level of solar radiation.
Just imagine that you've got solar energy batteries and you want to know will it be reasonable to use them in future?
Thanks NASA for the dataset.
Predict the level of solar radiation.
Here are some intersecting dependences that i have figured out:
The best result of accuracy I could get using cross-validation was only 55%.
CREATE TABLE solarprediction (
"unixtime" BIGINT,
"data" VARCHAR,
"time" VARCHAR,
"radiation" DOUBLE,
"temperature" BIGINT,
"pressure" DOUBLE,
"humidity" BIGINT,
"winddirection_degrees" DOUBLE -- WindDirection(Degrees),
"speed" DOUBLE,
"timesunrise" VARCHAR,
"timesunset" VARCHAR
);
Anyone who has the link will be able to view this.