Power and Energy

This dataset encompasses crucial power - related information. It includes network parameters, which are fundamental for grid analysis. Thermal generator parameters detail the characteristics of thermal power units. Load power data reflects consumption demands, while the wind power output upper limit defines the potential of wind energy. Dispatch results summarize the optimized power distribution, all valuable for power system research and operation.
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This dataset contains hourly electricity demand data and corresponding weather indicators collected from 2021 to 2023. The electricity data was sourced from the U.S. Energy Information Administration (EIA), covering both winter and summer periods across three years. Weather features—including temperature, wind speed, and humidity—were collected to capture the external conditions affecting demand. All files are stored in CSV format and aligned by timestamp. This dataset supports research in time series forecasting, demand prediction, and energy systems modeling.
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Radio frequency converter (RFC) is widely used in the semiconductor manufacturing industry, which requires high power, high efficiency, and a wide power regulation range. To fulfill these demands, this paper proposes efficient modular power amplifiers (PAs), where multiple RFC modules are constructed using full-bridge class-D PAs. The constant-current output characteristics of individual modules and the system-level power delivery capability are comprehensively analyzed.
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Advanced Metering Infrastructure is prone to cyber threats and Distributed Denial of Service is renowned attack that threatens critical infrastructure. Intrusion detection schemes proposed in earlier works consider the network specific parameters for intrusion detection rather than physical layer parameters. Hence, the proposal considers the physical layer parameters in detecting distributed denial of service attack through abnormal energy consumption pattern of the Data concentrator in the advanced metering infrastructure.
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To evaluate the thermal behavior of multiple battery cells under operational conditions, a series of controlled temperature tests were conducted. First, each cell was equipped with calibrated thermocouples (type K) attached to its surface at the geometric center to ensure consistent temperature acquisition. The cells were then placed in a thermal chamber to maintain a constant ambient temperature. A programmable charge/discharge unit was used to apply identical current profiles to all cells simultaneously.
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This dataset presents the distribution networks developed in our unpublished paper, "US Representative Feeder Sets for Distribution Grid Economics and Policy Applications." In the paper, we generate feeder sets that reproduce the economic characteristics of local distribution grids by starting from prototypical feeders that represent the electric installations in a specific location.
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This dataset is a unified compilation of the Electricity Transformer Temperature (ETT) datasets: ETTh1, ETTh2, ETTm1, and ETTm2. It includes both hourly and minute-level temperature and load data collected from power transformers, which are vital for developing and benchmarking time-series forecasting models. The dataset contains features such as high and medium voltage transformer temperatures (HUFL, HULL, MUFL, MULL) and the operational temperature (OT), which serves as the primary prediction target.
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Load frequency control is essential for maintaining power system stability, especially under uncertainties and input delays. This paper proposes a reinforcement learning-based dual-channel dynamic event-triggered fixed-time load frequency control approach for uncertain multi-area power systems with input delays. A non-singular fast terminal sliding mode technique is employed to guarantee that the tracking error converges within a fixed time.
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<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: Wolfspeed and Hitachi. 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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