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Dragonfire – Laser Directed Energy Weapon

Dragonfire – Laser Directed Energy Weapon - JR Sekwele Optical Networks & Photonic Group
  • Problems Facing the Energy Internet

    Problems Facing the Energy Internet

    This article deals with a thorough investigation of the energy internet towards future emerging technologies for energy distribution and management to solve existing limitations and enhance the performanc.


  • The Relationship Between Internet Companies and Foreign Energy Enterprises

    The Relationship Between Internet Companies and Foreign Energy Enterprises

    The global transition towards renewable energy sources necessitates the internationalization of renewable energy businesses to effectively address the growing demand and capitalize on emerging mar.


  • Underlying Logic of the Energy Internet

    Underlying Logic of the Energy Internet

    The study proposes a novel seven-layer architecture for Energy Internet, derived from the OSI model. Energy Intranet, a smaller-scale version, enables local energy markets and enhances community-based energy trading. Its features, such as plug-and-play mechanism, real-time bidirectional flow of energy, information, and money can lead to significant benefits and innovation in electricity production and. The Internet of Energy (IoE) or Energy Internet is a futuristic evolution of the electricity system, conceptualized as an energy-sharing network.


  • High-precision hybrid energy systems for smart buildings

    High-precision hybrid energy systems for smart buildings

    This study proposes a multi-faceted approach by incorporating (1) Deep Reinforcement Learning (DRL) agents trained using data from digital twins (DTs) to optimize energy consumption in real time, (2) Physics-Informed Neural Networks (PINNs) to seamlessly embed physical laws within. This study proposes a multi-faceted approach by incorporating (1) Deep Reinforcement Learning (DRL) agents trained using data from digital twins (DTs) to optimize energy consumption in real time, (2) Physics-Informed Neural Networks (PINNs) to seamlessly embed physical laws within. In this paper, we present an optimization planning method for enhancing power quality in integrated energy systems in large-building microgrids by adjusting the sizing and deployment of hybrid energy storage systems. These integrated energy systems incorporate wind and solar power, natural gas. The Smart Buildings and Hybrid Energy Systems application area emphasises a holistic approach on the built environment, sustainable energy solutions and hybrid energy systems. These include both residential areas as well as offices, public and commercial buildings. Hybridization is an interesting.

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  • Energy Internet Development Experience

    Energy Internet Development Experience

    Renewable energy technological innovation (RETI) is an important pathway to mitigate climate change and accelerate energy transition, but existing studies have not yet recognised the potential driving forc.


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