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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Udit Mamodiya

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Open access 2026

Blockchain-based secure communication model for IoT solar tracking networks

Solar tracking systems using IoTs are being implemented in efforts to enhance solar photovoltaic efficiency, but are susceptible to unsecure communications, data modification and low flexibility to changing environmental scenarios. Current solutions usually focus on either control optimization or communication security...

Udit Mamodiya, I. Kishor, P. Vidyullatha et al. · 0 citations
Open access 2026

An AI-driven cybersecurity framework for smart solar energy systems intrusion detection and adaptive threat mitigation

The rise of Internet of Things (IoT) technologies in smart solar energy systems has presented a serious cybersecurity issue, especially with the close interdependence between cyber infrastructure and physical functions. Traditional intrusion detection systems (IDS) are mainly based on the network level of abnormalities...

Udit Mamodiya, I. Kishor, Hastimal Jangid et al. · 0 citations
Open access 2026

Explainable AI models for short-term renewable energy forecasting under uncertainty

An uncertainty-aware transformer framework is proposed which is explainable when forecasting the short-term PV power under dynamically changing environmental conditions and then explains the renewable energy forecasting system in the entire system for photovoltaic uncertainty-aware and interpretable prediction.

Udit Mamodiya, I. Kishor, P. Mudholkar et al. · 0 citations
Review Open access 2026

A Risk-Based Cybersecurity Auditing Framework for Smart Grid Infrastructure Using Explainable Artificial Intelligence (XAI)

This study suggests a framework for cybersecurity auditing of smart grid infrastructure, which is based on the concept of risk and the use of Explainable Artificial Intelligence (XAI) to produce transparent, prioritized and audit-ready security evidence. The information from public smart grid cybersecurity events was m...

Udit Mamodiya, I. Kishor, Hastimal Jangid et al. · 0 citations
Open access Jul 2026

Hybrid deep learning-driven explainable AI framework for fault detection and classification in smart power grids.

A hybrid deep learning-based model that combines convolutional neural networks and long short-term memory with explainable artificial intelligence to detect and classify faults accurately and interpretably to intelligent fault management in a contemporary smart grid is suggested.

Udit Mamodiya, Divyanshu Sinha, I. Kishor et al. · 0 citations

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