{ "data_id": "43409", "name": "Historical-Weather-data-of-Goa-India", "exact_name": "Historical-Weather-data-of-Goa-India", "version": 1, "version_label": "v1.0", "description": "Context\nI am currently building a short term (one-day ahead) electric load forecasting model for Goa. A good chunk of it is domestic household load. Temperature and Humidity can be used to estimate the heat index which can be used as one of the input variables for the model. Hence, future temperature and humidity predictions are essential.\nContent\nContains following data from 01 July'16 - 31 July'19 with 15 minute resolution \nTemperature (K);Temperature at 2 m above ground \n Relative humidity ();Relative humidity at 2 m above ground \n Pressure (hPa);Pressure at ground level \n Wind speed (m\/s);Wind speed at 10 m above ground \n Wind direction (deg);Wind direction at 10 m above ground (0 means from North 90 from East)\n Rainfall (kg\/m2);Rainfall mass density per m2 area\n Short-wave irradiation (Wh\/m2);Surface incoming shortwave irradiation (broadband) \nAcknowledgements\nData downloaded from:\nhttp:\/\/www.soda-pro.com\/web-services\/meteo-data\/merra\nProvider:\nNational Aeronautics and Space Administration (NASA) \/ Goddard Space Flight Center \nMore information at;\nhttp:\/\/gmao.gsfc.nasa.gov\/reanalysis\/MERRA-2 \nLicenses:\nhttp:\/\/www.soda-pro.com\/documents\/10157\/326300\/CAMS-data-license.pdf\nhttp:\/\/www.soda-pro.com\/documents\/10157\/326300\/SoDa-license.pdf\nInspiration\nFuture prediction of humidity and temperature using the available past data.", "format": "arff", "uploader": "Dustin Carrion", "uploader_id": 30123, "visibility": "public", "creator": null, "contributor": null, "date": "2022-03-23 13:12:45", "update_comment": null, "last_update": "2022-03-23 13:12:45", "licence": "Database: Open Database, Contents: Database Contents", "status": "active", "error_message": null, "url": "https:\/\/www.openml.org\/data\/download\/22102234\/dataset", "kaggle_url": null, "default_target_attribute": null, "row_id_attribute": null, "ignore_attribute": null, "runs": 0, "suggest": { "input": [ "Historical-Weather-data-of-Goa-India", "Context I am currently building a short term (one-day ahead) electric load forecasting model for Goa. A good chunk of it is domestic household load. Temperature and Humidity can be used to estimate the heat index which can be used as one of the input variables for the model. Hence, future temperature and humidity predictions are essential. Content Contains following data from 01 July'16 - 31 July'19 with 15 minute resolution Temperature (K);Temperature at 2 m above ground Relative humidity ();Re " ], "weight": 5 }, "qualities": { "NumberOfInstances": 108096, "NumberOfFeatures": 9, "NumberOfClasses": null, "NumberOfMissingValues": 0, "NumberOfInstancesWithMissingValues": 0, "NumberOfNumericFeatures": 7, "NumberOfSymbolicFeatures": 0, "PercentageOfBinaryFeatures": 0, "PercentageOfInstancesWithMissingValues": 0, "PercentageOfMissingValues": 0, "AutoCorrelation": null, "PercentageOfNumericFeatures": 77.77777777777779, "Dimensionality": 8.325932504440498e-5, "PercentageOfSymbolicFeatures": 0, "MajorityClassPercentage": null, "MajorityClassSize": null, "MinorityClassPercentage": null, "MinorityClassSize": null, "NumberOfBinaryFeatures": 0 }, "tags": [], "features": [ { "name": "Date", "index": "0", "type": "string", "distinct": "1126", "missing": "0" }, { "name": "UT_time", "index": "1", "type": "string", "distinct": "97", "missing": "0" }, { "name": "Temperature_(K)", "index": "2", "type": "numeric", "distinct": "1627", "missing": "0", "min": "292", "max": "310", "mean": "300", "stdev": "3" }, { "name": "Relative_Humidity_(%)", "index": "3", "type": "numeric", "distinct": "6830", "missing": "0", "min": "19", "max": "93", "mean": "71", "stdev": "16" }, { "name": "Pressure_(hPa)", "index": "4", "type": "numeric", "distinct": "1708", "missing": "0", "min": "987", "max": "1006", "mean": "996", "stdev": "3" }, { "name": "Wind_speed_(m\/s)", "index": "5", "type": "numeric", "distinct": "1000", "missing": "0", "min": "0", "max": "11", "mean": "4", "stdev": "2" }, { "name": "Wind_direction", "index": "6", "type": "numeric", "distinct": "28793", "missing": "0", "min": "0", "max": "360", "mean": "231", "stdev": "97" }, { "name": "Rainfall_(kg\/m2)", "index": "7", "type": "numeric", "distinct": "48561", "missing": "0", "min": "0", "max": "3", "mean": "0", "stdev": "0" }, { "name": "Short-wave_irradiation_(Wh\/m2)", "index": "8", "type": "numeric", "distinct": "54542", "missing": "0", "min": "0", "max": "265", "mean": "57", "stdev": "77" } ], "nr_of_issues": 0, "nr_of_downvotes": 0, "nr_of_likes": 0, "nr_of_downloads": 0, "total_downloads": 0, "reach": 0, "reuse": 0, "impact_of_reuse": 0, "reach_of_reuse": 0, "impact": 0 }