Power and Energy
The dataset consist of operational data on 3 ODAF power transformers.
The data include the load factor, ambient temperature, top-oil temperature, hot-spot temperature and cooling stage. Also, the dynamic viscosity data for different oils is provided.
Those datasets are in support for the IEEE article "Dynamic Thermal Model for Oil Directed Air Forced Power Transformers with Cooling Stage Representation"
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The SiCWell Dataset contains data of battery electric vehicle lithium-ion batteries for modeling and diagnosis purposes. In this experiment, automotive-grade lithium-ion pouch bag cells are cycled with current profiles plausible for electric vehicles.
The analysis of current ripples in electric vehicles and the corresponding aging experiments of the battery cells result in a dataset, which is composed of the following parts:
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The attached txt file “cir_bis.txt” is the netlist of the SPICE subcircuit of an EMI filter for dc or single-phase ac applications, valid up to 100 MHz. It can be used in a SPICE-compatible solver (e.g., LTSPICE) for frequency-domain or time-domain simulations. It is a passive black-box macromodel obtained as described in the following paper: S. Negri, G. Spadacini, F. Grassi, and S. A.
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This document provides the data for the case studies of the work “Priority Chronological Time-Period Clustering for Generation and Transmission Expansion Planning Problems with Long-Term Dynamics”.
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Please cite the following paper when using this dataset:
N. Thakur, "Twitter Big Data as a Resource for Exoskeleton Research: A Large-Scale Dataset of about 140,000 Tweets from 2017–2022 and 100 Research Questions", Journal of Analytics, Volume 1, Issue 2, 2022, pp. 72-97, DOI: https://doi.org/10.3390/analytics1020007
Abstract
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The dataset is supplementary material for the research article 'Techno-economic assessment of grid-level battery energy storage supporting distributed photovoltaic power' published in IEEE Access in October 2021. The dataset corresponds to the annual timeseries at 1-minute resolution (525,600 steps) of the per-unit profiles used for the electric load and the per-unit power output of 8 PV systems.
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Clean energy resources, like wind, have a stochastic nature, which involves uncertainties in the power system. Introducing energy storage systems (ESS) to the network can compensate for the uncertainty in wind plant output and allow the plant to participate in ancillary service markets. Advance in compressed air energy storage system (CAES) technologies and their fast response make them suitable for ancillary services.
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The attached file include the data used in the case study of paper "An Adjustable Robust Optimization Approach for the Expansion Planning of a Virtual Power Plant".
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