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A Hybrid Source–Load Power Forecasting Model for Distribution Networks with High Penetration of Renewable Energy

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A Hybrid Source–Load Power Forecasting Model for Distribution Networks with High Penetration of Renewable Energy

Wanru Zhao et al · European Alliance for Innovation (EAI) · 2026 · ISSN 2032-944X

INTRODUCTION: High renewable energy penetration introduces significant uncertainties in distribution networks, posing challenges for source-load power forecasting and voltage management. OBJECTIVES: This study aims to e...

LCC TENDOlNjaWVuY2U~; LCC:Mathematics; LCC:Electronic computers. Computer scienceIdioma eng

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Federated edge-AI for reliable and privacy-preserving pipeline leak detection in drone swarms using neutrosophic sugeno-weber norms

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Federated edge-AI for reliable and privacy-preserving pipeline leak detection in drone swarms using neutrosophic sugeno-weber norms

Rana Muhammad Zulqarnain et al · Nature Portfolio · 2026 · ISSN 2045-2322

Abstract The ability to monitor the safety of natural gas pipelines is guaranteed by leak detection. Systems are capable of responding quickly, and very precisely to events because delays during such events can lead to s...

LCC LCC:Medicine; TENDOlNjaWVuY2U~Idioma eng

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