Power and Energy
This paper proposes a multiple-receiver inductive power transfer platform which is capable of controlling the load voltages to satisfy individually rated values and stabilizing the load voltages against the load variations. In the proposed charging platform, multiple transmitting resonators are employed to support a voltage-driven source resonator in manipulating the energy flows toward individual receivers. This structure also helps the voltage source induce constant currents into the transmitting resonators, and therefore, is able to deliver load-independent voltages to the loads. As a r
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The dataset contains measurements taken from four air handling units (AHU) installed in a medium-to-large size academic building. The building is a 7-story, 9000 sqm facility commissioned in 2016 hosting the PRECIS research center. It contains multiple research laboratories, multifunction spaces, meeting rooms, and a large auditorium as well as administrative offices. It is located at 44°2606.0N and 26°0244.0E in a temperate continental climate with hot summers and cold winters. Cooling is handled using on-site electric chillers while heating is provided from a district heating network.
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A coupled inductor based buck-boost type single phase transformerless grid connected photo voltaic inverter which is having the ability to extract maximum power simultaneously from two serially connected subarrays is proposed in this paper. The series connection of the two subarrays, and the buck-boost nature of the inverter result in reduction of the number of modules which are connected in series in a subarray.
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Datasets contain survey data of 873 rural poor households in the states of Maharashtra, Odisha, Madhya Pradesh, and Rajasthan.
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Copyright (C) 2016-2019 Shandong University
Dataset for "An artificial fusion intelligence-driven approach to energy-aware scheduling of stochastic nonlinear heterogeneous super-systems”
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This is the data of the identified parameters of practical series-series (SS)-compensated wireless power transfer (WPT) systems based on the Genetic Algorithm, Adaptive Differential Evolution, and two-layer Adaptive Differential Evolution. These data strongly validate the accuracy of the Adaptive Differential Evolution to identify the parameters of a two-coil SS-compensated WPT and the two-layer Adaptive Differential Evolution to identify the parameters of a three-coil SS-compensated WPT system. The data can be adopted as a reference for future investigations.
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This paper proposes a distributed fixed-time multi-agent control strategy for the frequency restoration and voltage regulation, state of charge balancing and proportional reactive power sharing between photovoltaic-battery systems distributed in a microgrid with communication time delays. First, the feedback linearisation method is applied to find the direct relationships between explicit states and control inputs.
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The oil-paper insulation system in power transformers operates under the effects of high temperature and strong electromagnetic environment, and the insulation medium can slowly decompose into a number of small molecules. The decomposition gases dissolved in oil are H2, CH4, C2H6, C2H4, C2H2. When a fault occurs, the insulation breaks down more quickly and the decomposition products will be different according to the type and severity of the fault.
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This dataset contains heavy-machinery data from the Brazilian industrial sector. The data was collected in a poultry feed factory located in the state of Minas Gerais, Brazil. Its process can be summarized to creating pellets of ration for poultry from corn or soybeans and added nutrients. The factory produces at fullscale over the entire year, thus it has well-behaved usage patterns at any time. It operates from Mondays through Fridays (and occasionally on Saturdays, in case production is below the monthly target) on a daily three-turn shift from 10:00 PM to 05:00 PM.
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