Renewable Energy
Twelve (12) realistic datasets encapsulating residents’ preferences, with each dataset representing the appliance-usage preferences expressed for a variant set of households by their respective residents for a specific season and day. The preferences were extracted from the REFIT dataset, a public 500MB dataset which contains real kW readings of the power output for the most energy-intensive shiftable/real-time appliances in 20 households in the UK, between September 2013 and July 2015.
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184 Views
This dataset provides a comprehensive record of wind power generation and its relationship with oceanic-atmospheric indices, facilitating advanced forecasting and analytical research in renewable energy. The dataset comprises 12 input parameters, including average wind speed, which serves as a crucial predictor, while wind power generation acts as the output variable.
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133 Views
The aim of this paper is to propose a method of control of a universal input power source station for the production of electricity composed of conventional sources and renewable energy sources as well as a storage element.The development and the design of a three-phase grid connected inverter was studied. The research was able to reach its objectives by designing, modelling, analysis and simulations of the circuit using Psim software package that have helped to check the performance of the proposed control system.
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65 Views
This paper provides a comprehensive evaluation of the BESS's optimum size targets, limitations, methodology, benefits and disadvantages. Furthermore, energy storage technologies and improved application targets have been presented and discussed for greater clarity. This study focuses primarily on BESS deployments, methodologies, and environmental impact. BEES innovations and achievements for electrical networks are also compared to other energy storage technologies. Concerns and obstacles are discussed to offer researchers in BESS a comprehensive picture.
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81 Views
The current paper examines and highlights the numerous energy storage system (ESS) technologies used in microgrids, as well as their architectures, configurations, performances, benefits, and drawbacks, also by providing a tangible outline for prospective efficient and sustainable ESS. As a result, there is also a comparison of the various technologies. As a consequence, there is also a comparison of the different technologies. Finally, some of the present ESS concerns and difficulties are explored.
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52 Views
This dataset is sourced from an integrated energy system in a region of northern China, encompassing a wide range of energy data including wind power, photovoltaic power, electricity load, thermal load, and cooling load. The dataset features a time resolution of one hour, with a 24-hour timescale for each selected day. A total of five typical days have been chosen, representing different seasonal and weather conditions, to capture the variations in energy production and consumption patterns.
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251 Views
Electric Vehicles Charging Station with Photovoltaic Panels
This dataset contains the model and simulation output results in Matlab/Simulink of a three-phase grid-connected charging station with PV panels for electric vehicles realized in a work submitted to the 13th IEEE International Conference and Exposition on Electrical and Power Engineering EPEi 2024, Iasi, Romania, October 17-19, 2024 (https://www.epe.tuiasi.ro/).
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487 Views
PV Solar Power System Under Partial Shading Irradiance Conditions
Operation of a solar photovoltaic (PV) array connected to a variable DC source to plot the l-V and P-V characteristics under partial shading irradiance conditions.
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618 Views
This dataset holds the Simulink model and the main output results during a day of a PV/T Hybrid Solar Panel from the Department of Power Engineering and Computer Science, Faculty of Engineering, “Vasile Alecsandri” University of Bacau. The obtained results including electrical and thermal efficiency are compared with the performances of a real PV/T System.
The dataset is related to the data used in an article under review sent to the Machines – an Open Access Journal from MDPI (Q2, IF=2.6).
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434 Views
Social Media Big Dataset for Research, Analytics, Prediction, and Understanding the Global Climate Change Trends is focused on understanding the climate science, trends, and public awareness of climate change. The use of dataset for analytics of climate change trends greatly helps in researching and comprehending global climate change trends.
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4156 Views