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Reinforcement Learning (RL): In our study, we have employed a reinforcement learning model tailored to optimize energy management within a microgrid system. This model leverages historical data on electricity imports, solar energy production, and storage behaviors to make real-time decisions aimed at enhancing energy efficiency and sustainability.
This research proposes an innovative approach to energy management that harnesses the burgeoning capabilities of artificial intelligence, IoT, and blockchain technology to revolutionize how energy is managed, distributed, and consumed over diverse terrains.
The integration of 6G and optical IoT technologies within smart grid systems offers transformative possibilities that extend beyond our current capabilities.
Combining the characteristics of the above optimization algorithms, based on the exhaustive search and heuristic search, the relevant intelligent solution algorithm is designed to provide a basis for obtaining the approximate optimal solution of the energy-saving operation and controlling strategy.
The electric grid will be challenged in several ways . including ensuring power quality, providing adequate transmission and distribution capability, maintaining stability of the system, and maintaining real time balance of power supply and demand. The power quality issue is caused by the unsynchronous generation of many variable generators.
Among many of the ESS technologies, BESS is a popular choice of ESS for regulating the RE intermittent generation. This is due to BESS's characteristic in providing high power density, modularization, and flexible installation. In , Xu and Shen demonstrated BESS's capability in solving RE intermittency in a microgrid.
To meet ambitious global decarbonization goals, electricity system planning and operations will change fundamentally. With increasing reliance on variable renewable energy …
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As a result, the energy platform provides the capability and tools to instantly share both the energy and data flow in multiple directions and allow the platform organizers to …
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Combining the characteristics of the above optimization algorithms, based on the exhaustive search and heuristic search, the relevant intelligent solution algorithm is designed …
The journal intends to capture and archive this emerging yet significant advancement in the field of intelligent service robotics. The journal will publish original papers of innovative ideas and …
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Design of adaptive Intelligent technique to improve the energy management efficiency of a microgrid: Battery - SC: AC Microgrid: Prevent backfeeding [117] Proposed …
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The AIoT brings intelligent decision-making directly to edge devices, enabling more autonomous and adaptive grid management. Together, these technologies could …
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Onteru, R.R., Sandeep, V. An intelligent model for efficient load forecasting and sustainable energy management in sustainable microgrids. Discov Sustain 5, 170 (2024). …
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The objective of this research is to develop intelligent deep optimized energy management (IntDEM), a novel and unique framework for Internet of Things (IoT)-enabled …
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