Energy
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This dataset includes the actual operational data from twelve wind turbines at Zhangbei wind farm in Hebei province, China. The SCADA data of twelve wind turbines was collected at 60-second intervals from March 2014 to March 2015. The specification of the wind turbines in the wind farm is as follows: the cut-in wind speed is 1m/s, the rated wind speed is 12m/s, the cut-out wind speed is 25m/s, and the rated power is 1500kW. four simulated data manually generated for data cleaning.
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154 Views
This is a pump fillage time series data set, consisting of 8 time series. The data is sourced from actual production data during the operational process of an oil field. It includes data from 8 oil wells, with measurements collected every half hour between July 22, 2022, and August 16, 2022. The pump fillage is extracted from the operational process of an oil field. The pump fillage data for each well is sorted in chronological order to obtain the pump fillage time series for each well. The data set had varying numbers of cards due to potential communication issues, rangin
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18 Views
This is a pump fillage time series data set, consisting of 8 time series. The data is sourced from actual production data during the operational process of an oil field. It includes data from 8 oil wells, with measurements collected every half hour between July 22, 2022, and August 16, 2022. The pump fillage is extracted from the operational process of an oil field. The pump fillage data for each well is sorted in chronological order to obtain the pump fillage time series for each well. The data set had varying numbers of cards due to potential communication issues, rangin
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15 Views
This dataset supports the manuscript titled “Strategies for Mitigating Degradation of Medium Voltage Electrical Equipment in Harsh Saline Environments.” The study focuses on identifying and addressing the challenges faced by medium voltage equipment in coastal environments characterized by high salinity, humidity, and extreme weather conditions. The dataset includes:
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94 Views
The given data contains the results from laboratory trials related to the paper "Optimizing Congestion Management andEnhancing Resilience in Low-Voltage Grids Using OPF and MPC Control Algorithms Through Edge Computing and IEC 61850 Standards" currently in publication in IEEE Access.
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166 Views
Autonomous underwater vehicles (AUVs) are extensively utilized for underwater resource exploration, requiring inductive power transfer (IPT) systems with large output power to achieve quick charging. However, underwater positioning errors result in significant variations in the coupling coefficient of the IPT system. Moreover, AUVs employ diverse battery types and voltages, exacerbating the issue of decreased transferred power when the coupling coefficient and battery voltage are low, thereby prolonging the AUVs' charging time.
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91 Views
Numerical simulations are used to assess the efficiency of floor heating, ceiling heating, and plane radiator heating in a selected family house room under winter conditions in the Central European climate zone. COMSOL Multiphysics software was used for computer simulations. The output data were subsequently processed and analyzed using MATLAB software. Results indicate that floor and ceiling heating systems achieve higher and more rapid temperature increases compared to plane radiators.
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141 Views
This dataset comprises Bloomberg Terminal data from 2017 to 2021, detailing environmental footprints, disclosure practices, risk profiles, and ESG fund commitments of Fortune 500 companies. The data captures various dimensions of environmental, social, and governance (ESG) performance, providing a comprehensive view of corporate sustainability trends. It includes quantitative indicators and qualitative scores for companies' ESG strategies, enabling researchers to analyze ESG practices and trends over time.
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132 Views
Well logs are interpreted/processed to estimate the in-situ reservoir properties (petrophysical, geomechanical, and geochemical), which is essential for reservoir modeling, reserve estimation, and production forecasting. The modeling is often based on multi-mineral physics or empirical formulae. When sufficient amount of training data is available, machine learning solution provides an alternative approach to estimate those reservoir properties based on well log data and is usually with less turn-around time and human involvements.
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160 Views