{
  "fetched_at": "2026-10-19T15:31:01Z",
  "source_url": "https://www.kaggle.com/competitions/dx-test/data",
  "pages": [
    {
      "name": "rules",
      "content": "This is a page where you can include rules that participants must accept before joining. You may wish to include rules like:\n\n - Don't cheat!\n - Apply yourself!\n - Have fun!",
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    {
      "name": "Description",
      "content": "<h1>Task</h1>\nThe task is a real-world problem about solar panel energy generation. Solar panels generate electricity throughout a day depending on their location, weather, capacity and efficiency. \nYou will build a forecast model in order to minimize the error for forecasts made for all solar panel plants as a total for every hour of next day. In real world, the production data of the current day comes in during the night so for example, when forecasting for hourly productions of March 11, you should consider that the model you are building cannot use the production data of March 10. \n\n",
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    {
      "name": "Evaluation",
      "content": "<h1>Evaluation Criteria</h1>\nSubmitted solutions are evaluated by the following criteria:\n•\tRMSE, R2, Weighted Absolute Percentage Error over summed hourly productions of all plants\n•\tLogical structuring of the features, feature selection, modelling, quality of data analysis \n•\tDocumentation clearness,  script comments / clearness\n\n<h1>Submission Format</h1>\n<p>The file should contain a header and have the following format:</p>\n<pre>Id,Predict<br />2018012114,105.43<br /><span style=\"font-size: 14px; line-height: 1.4em;\">2018012115,100.21<br /></span><span style=\"font-size: 14px; line-height: 1.4em;\">etc.</span></pre>",
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    {
      "name": "Prizes",
      "content": "5000$",
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