Power and Energy
<p>This data set is a modified CLARC(Customizable Artificial Community )system data based on garden city kansas socio economic data.The dataset comprises two major parts.1.Load Data: This portion includes detailed hourly electricity demand profiles across 65 distinct load points, categorized into residential, commercial, industrial, and critical infrastructure loads. Each load profile reflects realistic consumption behaviors and demand fluctuations.2.Socioeconomic Data: This segment captures essential demographic and economic indicators for each corresponding load point.
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This dataset contains detailed technical specifications and market pricing information for power electronic components, specifically MOSFETs and IGBTs from two manufacturers: Hitachi and Wolfspeed. The data was collected through two main methods: manual upload of technical specifications in XML format from the manufacturers' official websites, and real-time market price aggregation using web scraping techniques from the Octopart platform, facilitated by Nexar APIs.
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This dataset supports the research paper "Synchronized Waveform Monitoring Unit Application: Lissajous DQ Curve to Improve Situational Awareness in Power Distribution Networks". It contains electromagnetic transient (EMT) simulation results from the IEEE 33-bus distribution system, including:
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This dataset contains high-resolution solar and wind measurement data collected from the Feni region, Bangladesh, spanning from 2017 to 2019. Logged at a 1-minute interval, the dataset provides a comprehensive record of atmospheric and meteorological conditions, essential for renewable energy analysis, climatological studies, and resource assessment.
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This dataset contains high-resolution wind measurement data collected from 22 channels at varying heights, providing valuable insights for wind energy assessment, atmospheric research, and meteorological studies. The dataset includes wind speed, wind direction, and environmental parameters measured at multiple altitudes ranging from 10m to 120m. Each channel records parameters such as average wind speed, standard deviation, minimum and maximum values, gust speed, and wind vane direction. Additionally, atmospheric parameters such as temperature, relative humidity, and pressure are included.
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Clean energy technologies, encompassing renewable resources like solar, wind, and hydropower, are essential in the global effort to reduce greenhouse gas emissions and combat climate change. As the globe prepares to transition away from fossil fuels, understanding the factors and parameters influencing the penetration of clean energy into existing energy markets has become a critical step. Controversies surrounding the environmental impacts of renewable technologies, variability in market structures, and economic pressures on clean energy companies can complicate this transition.
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All three datasets are in CSV file format and contain renewable energy and load demand data from August 1, 2024 to August 30, 2024. The dataset is sourced from California ISO and is stored through an open-source repository https://github.com/gridstatus/gridstatus. Renewable energy sources include wind and solar energy, and the load demand is based on data from the Trinity Public Utility District (TIDC) and the Trook Irrigation District (TPWR).
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The power generated by electricity industry is presently concentrating on the mitigation of power quality (PQ) difficulties. Numerous PQ issues are brought about by automation in industry andthe integration of distributedgeneration using powerelectronic converters this calls for PQ enhancement. This contributes to the equipment'sextendedlifespanandincreasedependabilityofsupplies for feeding vital loads into the system. Electric power transmission efficiency from the source to industrial, home, and commercial consumersis measured byPQ.
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