In response to the increasing penetration of volatile and uncertain renewable energy,the regional transmission organizations(RTOs)have been recently focusing on enhancing the models of pump storage hydropower(PSH)plan...
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In response to the increasing penetration of volatile and uncertain renewable energy,the regional transmission organizations(RTOs)have been recently focusing on enhancing the models of pump storage hydropower(PSH)plants,which are one of the key flexibility assets in the day-ahead(DA)and real-time(RT)markets,to further boost their flexibility provision *** by the recent research works that explored the potential benefits of excluding PSHs’cost-related terms from the objective functions of the DA market clearing model,this paper completes a rolling RT market scheme that is compatible with the DA ***,with the vision that PSHs could be permitted to submit state-of-charge(SOC)headrooms in the DA market and to release them in the RT market,this paper uncovers that PSHs could increase the total revenues from the two markets by optimizing their SOC headrooms,assisted by the proposed tri-level optimal SOC headroom ***,in the proposed tri-level model,the middle and lower levels respectively mimic the DA and RT scheduling processes of PSHs,and the upper level determines the optimal headrooms to be submitted to the RTO for maximizing the total revenue from the two *** case studies quantify the profitability of the optimal SOC headroom submissions as well as the associated financial risks.
This paper introduces a pioneering approach aimed at elevating healthcare services through the integration of machine learning (ML) techniques for predicting Heart (Cardiovascular) disease, Parkinson's disease, Di...
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The automotive industry is increasing exponentially day by day providing a safer and efficient experience to the consumers. Intelligent Transportation Systems (ITS) has become more crucial with the increasing number o...
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This research paper conducts a thorough comparative analysis of various dithering algorithms, prioritizing the GPU-optimized Floyd-Steinberg algorithm. Dithering plays a crucial role in improving image quality in cons...
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Camouflage is the art of concealing. It is widely used to conceal your own self and your equipment from the enemy. It had been in nature since before humans, animals have used it to adapt to their surroundings. Camouf...
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ISBN:
(数字)9789819995318
ISBN:
(纸本)9789819995301
Camouflage is the art of concealing. It is widely used to conceal your own self and your equipment from the enemy. It had been in nature since before humans, animals have used it to adapt to their surroundings. Camouflage is rooted in nature, and can be seen in animals to conceal them from predators. Its widespread application for military tactics only started with British zoologists. Camouflage now has come to play a crucial role in various domains with applications in military, hunting, and wildlife observations. The traditional methods of generating camouflage patterns that are generated manually are time-consuming and pose significant challenges in achieving optimal cover for different environments. In order to solve the issues and limitations, we in this paper have proposed an automated method to generate camouflage patterns tailored for specific terrains. We utilize image detection, and color extraction and produce pixelated patterns. The entire process involves segmentation, object detection, dominant color extraction, and pattern generation using K-means++. The CamoGen program is then employed to generate camouflage patterns by covering the canvas with polygons of respective colors and pixelating them into block-like patterns. The proposed method offers flexibility by allowing the generation of multiple patterns through parameter adjustments. Validation techniques are also integrated to ensure the desired areas are concealed. By digitizing and automating the camouflage pattern generation process, our model represents a significant advancement in the field and has potential applications in stealth monitoring and military exercises. Experimental results demonstrate the efficiency and effectiveness of our approach, particularly in natural environments such as forests, grasslands, and deserts. Further enhancements are required for designing camouflage patterns in artificial environments like urban settings. By digitizing and automating the camouflage pattern gen
Despite the growing efforts to tackle the issue of marine pollution, the accurate and effective detection of oceanic litter remains a chronic difficulty. The development of a reliable deep learning-based system is vit...
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In the electronics industry, the timely and accurate detection of defects in printed circuit boards (PCBs) is crucial for maintaining high standards of product quality and efficiency. Tra-ditional methods often strugg...
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Even today the Textile Industries are using manpower to detect and classify the fabric defect, the process of depending on human inspectors for fabric defect detection can be considered as not an optimized way since i...
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In this work, we present milliGait, a user identification using gait patterns captured by millimeter wave (mmWave) radar technology. milliGait takes into account the unique movement signatures of individuals to enable...
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E-commerce has revolutionized the retail landscape, offering consumers unparalleled convenience and a vast array of choices from the comfort of their homes. Enabling e-commerce in native languages is crucial for creat...
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