{"id":27211636,"url":"https://github.com/sverrenystad/power-predictor","last_synced_at":"2025-04-10T01:30:00.014Z","repository":{"id":213395747,"uuid":"695039131","full_name":"SverreNystad/power-predictor","owner":"SverreNystad","description":"Using Machine Learning for time series forecasting of photovoltaic measurement for solar systems based on weather features","archived":false,"fork":false,"pushed_at":"2024-03-18T11:48:02.000Z","size":403360,"stargazers_count":6,"open_issues_count":30,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-06T08:47:12.824Z","etag":null,"topics":["automl","catboost","exploratory-data-analysis","feature-engineering","feature-selection","gradient-boosting","kaggle-competition","lstm","machine-learning","prophet-model","random-forest","regression","renewable-energy","solar-energy","stacking","time-series-forecasting","xgboost"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/SverreNystad.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-09-22T08:13:43.000Z","updated_at":"2025-03-17T01:54:07.000Z","dependencies_parsed_at":"2024-06-12T16:25:02.783Z","dependency_job_id":null,"html_url":"https://github.com/SverreNystad/power-predictor","commit_stats":{"total_commits":376,"total_committers":7,"mean_commits":"53.714285714285715","dds":"0.31117021276595747","last_synced_commit":"e1390d9626258d65cf763b676eb8771277517451"},"previous_names":["sverrenystad/power-predictor"],"tags_count":0,"template":false,"template_full_name":"SverreNystad/template_python_application","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SverreNystad%2Fpower-predictor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SverreNystad%2Fpower-predictor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SverreNystad%2Fpower-predictor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/SverreNystad%2Fpower-predictor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/SverreNystad","download_url":"https://codeload.github.com/SverreNystad/power-predictor/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248140140,"owners_count":21054247,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["automl","catboost","exploratory-data-analysis","feature-engineering","feature-selection","gradient-boosting","kaggle-competition","lstm","machine-learning","prophet-model","random-forest","regression","renewable-energy","solar-energy","stacking","time-series-forecasting","xgboost"],"created_at":"2025-04-10T01:29:54.590Z","updated_at":"2025-04-10T01:29:55.002Z","avatar_url":"https://github.com/SverreNystad.png","language":"Jupyter Notebook","readme":null,"funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsverrenystad%2Fpower-predictor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsverrenystad%2Fpower-predictor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsverrenystad%2Fpower-predictor/lists"}