ZIP

This data set is an example data set for the data set used in the experiment of the paper "A Multilevel Analysis and Hybrid Forecasting Algorithm for Long Short-term Step Data". It contains two parts of hourly step data and daily step data, each with 500 rows of data. The data has been desensitized. A complete data set can be added depending on the review condition.
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The dataset provides data for the article " LSTM-based Argument Recommendation for Non-API Methods"
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Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems
In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.
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The datasets are composed of the experimental results of my paper submitted to TMM on HELEN and LFW datasets.
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wo kinds of improved SD algorithms for generalised spatial modulation (GSM), termed as the tree search SD (T-SD) and the path search SD (P-SD), are proposed to provide greater complexity reduction compared with the conventional SD algorithms by merging the repeating elements of the vectors. Simulation results show that the proposed T-SD and P-SD can reduce the complexity dramatically while maintaining the optimum bit-error-ratio(BER) performance, especially for high spectral efficiency GSM. Furthermore, P-SD breaks the limitation on the number of transmit antennas and receive antennas.
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This work presents a novel Anti-Islanding (AI) protection of Photovoltaic (PV) Systems based on monitoring the dc-link voltage of the PV inverter. A PV System equipped with AI protection like frequency relays, a rate of change of frequency (ROCOF) relay, and respectively the proposed dc-link voltage relay is simulated under the conditions of islanding and the detection time for all these AI techniques are compared. The study shows under which conditions our proposed dc-link voltage AI relay is the most efficient.
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This work presents a Matlab/Simulink study on anti-islanding detection algorithms for a 100kW Grid-Connected Photovoltaic (PV) Array. The main focus is on the islanding phenomenon that occurs at the Point of Common Coupling (PCC) between Grid-Connected PV System and the rest of the electric power system (EPS) during various grid fault conditions. The Grid-Connected PV System is simulated under the conditions of islanding, and anti-islanding (AI) relay reaction times are measured through the simulation.
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This work presents the performance evaluation of incremental conductance maximum power point tracking (MPPT) algorithm for solar photovoltaic (PV) systems under rapidly changing irradiation condition. The simulation model, carried out in Matlab and Simulink, includes the PV solar panel, the dc/dc buck converter and the MPPT controller. This model provides a good evaluation of performance of MPPT control for PV systems.
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