Power and Energy
This dataset encompasses cycling experiments conducted on lithium-ion batteries, involving 5 distinct batches, each originating from a different manufacturer. Within each batch, there were 6 batteries subjected to testing. The battery types employed for testing included cylindrical 21700 cells and 18650 type and nickel manganese cobalt or nickel cobalt aluminum.
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483 Views
The two distribution systems provided in this dataset are based on the data provided in [1]. The dataset was used in the analysis made in [2], where it was developed a model that can operate the distribution system considering wildfire-prone climate conditions. In this work, we consider that part of the grid is vulnerable to the ignition of a wildfire, which can be influenced by the levels of power flows passing through the line segments within the region.
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345 Views
Different faults are experienced by a power system, particulary in transmission lines. In this dataset, the IEEE 5-Bus Model was used to different types of transmission line faults.
Indication of the label of the faults come from the time that the fault has been induced in the simulation.
This dataset aims to be utilized for machine learning algorithms, particularly in multi-class classification of the transmission line fault. In this simulation, each fault was induced at each transmission line one instance at a time during a certain period.
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1607 Views
Electric power systems are comprised of cyber and physical components that are crucial to grid resiliency. Data from both components should be collected when modeling power systems: data from communication networks and intrusion detection systems; physical telemetry from sensors and field devices.
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1213 Views
This paper presents a cost-effective approach for building energy usage management through energy usage optimization of available building energy sources. An energy cost reduction model is developed considering grid energy usage and cost, generator energy usage and cost as well as carbon emissions tax penalties associated with scope 1 emissions. The model selects optimal times to use either Grid energy, generator energy, or a combination of the two to minimize the overall building energy usage cost.
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284 Views
In order to obtain the ex-ante least-cost schedule of energy generation and reserves for online generating units, the system operator addresses a dynamic decision-making process known as the economic dispatch (ED) problem. Current industry practice involves adopting a deterministic two-stage optimization framework that relies on a one-day-ahead horizon and a forecast of uncertain parameters. The optimal solution to the resulting problem thus yields a generation schedule for the entire day ahead.
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378 Views
This dataset contains electrical measurements collected in the context of the paper "An Embedded Deep Learning NILM System: A Year-long Field Study in Real Houses".
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643 Views
Los datos empleados en el análisis del estudio fueron obtenidos del sistema SAP del Departamento Comercial de la Compañía Nacional de Electricidad (CNEL EP) Unidad de Negocio Esmeraldas. Estos datos consisten en registros originales de consumo mensual de energía eléctrica facturada (expresada en kilovatios-hora, kWh) durante un periodo de 25 meses (enero de 2021 a enero 2023). Estos registros pertenecen a 136218 clientes aproximadamente de del sector residencial de la provincia de Esmeraldas.
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728 Views
Despite numerous advantages of space vector pulse width modulation (SVPWM) methods, their implementation on multilevel inverters (MLI) is onerous. Due to the ever-increasing use of MLIs in power electronic applications, it is essential to implement efficient modulation procedures aiming to keep control sampling periods sufficiently short. Here, a novel and straightforward SVPWM Strategy is introduced, which uses algebraic functions throughout the procedure and avoids using hardware-consuming trigonometric functions. Look-up tables and region detection are no more necessary.
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376 Views