| Data Description | Data View | Data Source |
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1. Kaggle data:
Time series forecasting of solar energy This dataset consists of data from 2007 to 2020 and it consists of 116113 rows and comprises of 8 columns. This data is about solar energy, wind direction, wind speed, humidity, pressure and temperature over time. The question that will be answered using this data is: what was the solar energy trend over the last several years and was the solar energy trend similar to the trends of temperature, humidity, pressure and wind speed? Moreover, what affects the fluctuation of solar energy? |
(Click to see a larger view.) |
https://www.kaggle.com/chaitanyakumar12/ time-series-forecasting-of-solar-energy |
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2. Kaggle data:
Solar generation and demand Italy 2015-2016 This dataset summarizes data about total solar power generation and total electricity demand in Italy during the years 2015 and 2016, with hourly resolution. The dataset of 2015 consists of 8760 rows and 3 columns, and the dataset of 2016 comprises of 8784 rows and 3 columns. The question that will be answered using this data is: what were the solar generation and demand trends in Italy between 2015 and 2016? |
(Click to see a larger view.) 
(Click to see a larger view.) |
https://www.kaggle.com/arielcedola/solar-generation-and-demand-italy-20152016 |
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3. Kaggle data:
Daily Power Production of Solar Panels This dataset consists of data from 2011 to 2020 and it consists of 3304 rows and comprises of 4 columns. This data is about date, cumulative solar power, used kWh electricity and used m³ gas. The question that will be answered using this data is: what was the volume of cumulative power production of solar panels over time and what was the percentage of solar power in the total electricity over time? |
(Click to see a larger view.) |
https://www.kaggle.com/fvcoppen/ solarpanelspower |