Development of performance-based models for green concrete using multiple linear regression and artificial neural network

Singh, Priyanka; Adebanjo, Abiola; Shafiq, Nasir; Razak, Siti Nooriza Abd; Kumar, Vicky; Farhan, Syed Ahmad; Adebanjo, Ifeoluwa; Singh, Archisha; Dixit, Saurav; Singh, Subhav; Sergeevna, Meshcheryakova Tatyana

doi:10.1007/s12008-023-01386-6

Cited by 35 publications

(6 citation statements)

References 37 publications

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“…The capacity of fuzzy logic to manage uncertainty makes it a viable tool for improving energy management techniques in the presence of changeable renewable supplies. [26][27][28][29][30] Performance evaluation and comparative studies have been conducted in the literature to assess the effectiveness of energy management systems based on fuzzy logic. These assessments often include indicators such as grid stability, dependability, and overall efficiency.…”

Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Logic-Based Energy Management in Smart Grids for Renewable Integration

Sharma,

Raju,

Dhall

et al. 2024

E3S Web Conf.

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This study presents a novel Fuzzy Logic-Based Energy Management model that aims to optimize the incorporation of renewable energy sources into smart grids. The research used simulated data to evaluate the model’s performance in important metrics, revealing significant improvements in the consumption of renewable energy, stability of the grid, dependability of energy storage, and overall efficiency of the system. The Fuzzy Logic Controller adjusts energy distribution in response to current inputs, leading to a significant 20% improvement in the usage of renewable energy. The capacity to adapt is crucial in dealing with the inherent fluctuation of solar, wind, and biomass sources. The approach greatly improves grid stability, as shown by a 15% decrease in grid frequency variations, highlighting its efficacy in assuring a more regulated and steady electricity supply. Furthermore, the dependability of energy storage systems exhibits a notable 25% enhancement in the state of charge, suggesting optimal cycles of charging and discharging. This increased dependability enhances the stability of the energy supply during times of high demand and variations in the power system. The Fuzzy Logic-Based Energy Management model exhibits a significant 22% improvement in total system efficiency when compared to conventional management systems. This indicator encompasses the model’s combined effect on the usage of renewable energy, the stability of the power grid, and the optimization of energy storage. Comparative analyses conducted against traditional control strategies, such as proportional-integralderivative controllers, consistently demonstrate the superiority of the fuzzy logic approach. This approach results in a 10% decrease in grid frequency deviations, a 15% enhancement in energy storage state of charge, and a 12% boost in overall system efficiency. The resilience of the Fuzzy Logic Controller is highlighted by sensitivity analysis, since it demonstrates consistent performance even when parameters vary significantly. The model’s practical usefulness and adherence to ethical principles are further confirmed by validation using real-world data from operational smart grid installations. This study provides valuable insights, establishing the Fuzzy Logic-Based Energy Management model as an innovative method for addressing the difficulties associated with integrating renewable energy into smart grids. This model promotes a more sustainable and efficient energy environment for the future.

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Section: Literature Reviewmentioning

confidence: 99%

Fuzzy Logic-Based Energy Management in Smart Grids for Renewable Integration

Sharma,

Raju,

Dhall

et al. 2024

E3S Web Conf.

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show abstract

“…They may broadcast critical information in a variety of contexts, including metropolitan regions, transit hubs, commercial centers, and governmental institutions. The research continually emphasizes the importance of public displays in improving situational awareness and allowing for rapid action during crises [32]- [39].…”

Section: Public Displays' Role In Emergency Communicationmentioning

confidence: 99%

Effective Emergency Communication through Public Displays: A Real-Time Evaluation with the Emergency Communication Display Test

Natalia,

Joshi,

Kumar Prabhakar

et al. 2024

BIO Web Conf.

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In the study of "Effective Emergency Communication through Public Displays," our research indicates major advancements and problems in using public displays to disseminate essential information during crises. According to data research, there has been a 33% rise in the deployment of high-resolution 4K TVs, showing a technical change toward improved message visibility and clarity. Geographic distribution has improved, with a 10% increase in ideal placements in high-risk regions due to population density and vulnerability evaluations. Message design and content adherence to plain language standards, as well as the usage of visual aids and standardized symbols, have all increased by 5%. The psychological components of message reception highlight the necessity of simple language and high-resolution panels, as LED screens result in a 15% higher message understanding rate than LCD screens, while jargon-laden messages raise audience anxiety levels by 25%. Although resilience evaluations have shown a 15% increase in the existence of backup power supplies and a 10% rise in remote monitoring capabilities, 20% of installations still have physical vulnerabilities. These results suggest a complete strategy to improving the efficacy of public displays for emergency communication, highlighting the need of continual technological improvements and best practices to protect the safety and well-being of different groups during disasters.

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“…These systems can do complicated tasks with little assistance from humans because they are outfitted with cutting-edge sensors and machine vision. They highlight the confluence of artificial intelligence with physical automation by promising increased productivity, accuracy, and safety in manufacturing and logistics [31]- [36].…”

Section: Ai's Place In Industry 50mentioning

confidence: 99%

Al and Autonomous Systems: An Experiment in Industry 5.0 Transformation

Natalia,

Singh Bisht,

Kumar Prabhakar

et al. 2024

BIO Web Conf.

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Important practical consequences are shown in this experimental study of AI and autonomous systems integration in the context of Industry 5.0. AI optimization of the product manufacturing process resulted in a 35% decrease in the real faulty rate and a significant 20% rise in production rates, reaching an actual rate of 1440 units per hour. The actual defective rate was just 1.3%. Since autonomous robots were introduced, work completion rates have increased by 18%, totaling 2,520 tasks completed, and maintenance expenses have decreased by 9%, amounting to a $450 real cost savings. Furthermore, with an actual faulty rate of 2.6%, the AI-driven quality control method showed an astounding 35% decrease in defective goods. Ultimately, significant 15% energy consumption decrease was accomplished using AI-based energy optimization solutions, translating into real energy savings of 1,500 kWh. These results highlight the real advantages of combining AI and Autonomous Systems in Industry 5.0, such as increased productivity, lower costs, better product quality, and sustainability.

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Development of performance-based models for green concrete using multiple linear regression and artificial neural network

Cited by 35 publications

References 37 publications

Fuzzy Logic-Based Energy Management in Smart Grids for Renewable Integration

Fuzzy Logic-Based Energy Management in Smart Grids for Renewable Integration

Effective Emergency Communication through Public Displays: A Real-Time Evaluation with the Emergency Communication Display Test

Al and Autonomous Systems: An Experiment in Industry 5.0 Transformation

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