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Practicing wind engineers and analysts\ncan build on fundamental modules as part of a larger project development.\n\n### Library installation\n- Clone the github repo to have access to example notebooks and public data.\n- Next, pip install the library\n\n```\n# Clone github repo\ngit clone https://github.com/abbey2017/wind-energy-analytics.git\n\n# Pip install library\npip install scada-data-analysis\n```\n\n### Current modules\n- Iterative power curve filter (returns normal and abnormal datapoints)\n- Expected power estimator (returns expected power based on operational data)\n\n### Usage of power curve filter\n```\nimport pandas as pd\n\nfrom scada_data_analysis.modules.power_curve_preprocessing import PowerCurveFiltering\n\n# Load turbine scada data\ndf = pd.read_csv('path\\to\\data')\n\n# Instantiate power curve filtering class\npc_filter = PowerCurveFiltering(turbine_label='Wind_turbine_name', windspeed_label='Ws_avg',\n                                power_label='P_avg', data=df, cut_in_speed=3, bin_interval=0.5,\n                                z_coeff=2.5, filter_cycle=5, return_fig=True, image_path='..\\images')\n\n# Process raw scada data\nnormal_df, abnormal_df = pc_filter.process()\n```\n\n### Usage of expected power estimator\n```\nimport pandas as pd\n\nfrom scada_data_analysis.modules.expected_power import ExpectedPower\n\n# Load turbine scada data\ndf = pd.read_csv('path\\to\\data')\n\n# Instantiate expected power estimator\npower_model = ExpectedPower(turbine_label='Wind_turbine_name', windspeed_label='Ws_avg',\n                            power_label='P_avg', method='binning', kind='linear')\n\n# Fit estimator based on training data\npower_model = power_model.fit(train_df)\n\n# Estimate expected power based on operation power curve\npred_df = power_model.predict(test_df)\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabbey2017%2Fwind-energy-analytics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fabbey2017%2Fwind-energy-analytics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fabbey2017%2Fwind-energy-analytics/lists"}