Yazar "Basheer, Ayman Ghassan" seçeneğine göre listele

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    BUILDING A SYSTEM CAPABLE OF PREDICTING RENEWABLE ENERGY CONSUMPTION AND POWER IMBALANCES ON GRID
    (International Organization on 'Technical and Physical Problems of Engineering', 2023) Al Dabbagh, Nayyef Sami; Hamodat, Zaid Musaab; Basheer, Ayman Ghassan
    Energy utilization and the board are enormous issues in a culture where we just develop our utilization of force in our day-to-day existences. For power framework administrators, estimating electric energy request is an imperative part of matrix the executives. The necessity of anticipating a specific household's daily energy usage affects the end-user as well, in light of the ideal plan and size of an environmentally friendly power framework and energy stockpiling. The motivation behind this postulation is to plan and prepare a PC framework equipped for determining home power use with as much precision as possible. At last, gauging of the ideal models made with the experiences assembled all through the exploration was performed and looked at over various uncommonly chosen time spans. The outcomes exhibited how, with the legitimate data sources and hyperparameter determination, a shallow ANN can give specific exactness in estimating electric energy interest. What's more, a procedure for creating and it is given to prepare a fake brain organization. © 2023, International Organization on 'Technical and Physical Problems of Engineering'. All rights reserved.
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    FORECASTING OF SOLAR RADIATION FOR SOLAR SYSTEM UNDER DIFFERENT CLIMATIC CONDITION
    (International Organization on 'Technical and Physical Problems of Engineering', 2023) Al Musawi, Sura Saadi; Hamodat, Zaid Musaab; Basheer, Ayman Ghassan
    Sun oriented energy is a perfect, plentiful, and sustainable power source. The utilization of photovoltaic boards to produce power from sun-based energy is turning out to be more well known. Since sunlight-based energy is discontinuous, the produced power is variable. This vulnerability could be decreased by using energy stockpiling frameworks and exact sunlight-based power determining. The objective of this proposal is to carry out a sun-oriented figure module as a component of an improved Energy Management System (EMS). Measurable techniques, sky imagers, satellite imaging, and mathematical climate forecast are among the strategies examined (NWP). To meet EMS necessities, counterfeit brain organizations (ANNs), a subset of factual strategies, were picked as a forecast strategy. For the EMS to work appropriately, exact anticipating in the momentary expectation skyline is required. The expectation skyline is how much time coming down the line for which an expectation is required. Additionally, the paragraph mentions the Temporal Convolutional Network (TCN) architecture, which uses temporal convolutions to process sequential data and has shown promise for time-series analysis tasks. Albeit every one of the techniques referenced above give OK execution, TCN engineering gives additional promising outcomes. To enhance the accuracy of solar radiation predictions, the possibility of dividing the dataset into sub-datasets based on radiant and overcast weather conditions and implementing a dedicated prediction module for each sub-dataset is being investigated. The outcomes show that bunching the dataset further develops expectation exactness for all models. Besides, recreation results on datasets from various geological areas with fluctuating environment conditions show that forecast exactness is higher in regions with additional steady climate and bright days. © 2023, International Organization on 'Technical and Physical Problems of Engineering'. All rights reserved.