Titlebook: Renewable Energy, Green Computing, and Sustainable Development; First International Sree Lakshmi Gundebommu,Lakshminarayana Sadasivuni Con

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https://doi.org/10.1007/978-3-031-58607-1Computer Science; Informatics; Conference Proceedings; Research; Applications

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AI Based Performance Boost in Solar PV Fuel Cell Hybrids system employs predictive analytics and machine learning algorithms to forecast solar irradiance patterns, weather conditions, and energy consumption trends. By leveraging real-time data and historical patterns, the system can dynamically adjust both the components, optimizing their performance for

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GCNXG: Detecting Fraudulent Activities in Financial Networks: A Graph Analytics and Machine Learningal framework. An exhaustive graph structure is generated, capturing the complex web of relationships, by modelling entities as nodes and monetary transactions as edges. The use of sophisticated graph algorithms allows us to unearth previously unseen patterns and identify outliers that may point to f

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A Case Study: Design Based Model of Electric Vehiclequire a comprehensive understanding of system power flow during the initial modeling phase. In the second phase, it is crucial to design more accurate models for different systems, including selecting appropriate parameters for energy management systems and types of converters. This paper emphasizes