A Full-Fledged, Multi-Agent System Representing the Architecture of Smart Cities by Balancing Energy With Optimal Electricity Forecasting, Integrating Individual Comfort, and Extracting Financial Gains

A Full-Fledged, Multi-Agent System Representing the Architecture of Smart Cities by Balancing Energy With Optimal Electricity Forecasting, Integrating Individual Comfort, and Extracting Financial Gains

Moving from smart homes to smart cities is a complex but essential task to consider. Setting up a modern smart city has many problems, such as unstable power generation systems, a lack of integration of demand-side loads, low profits, more pollution, and agents that cannot communicate quickly and sm...

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Bibliographic Details
Main Authors: M. Mahad Malik, Abdullah Altamimi, Syed Ali Abbas Kazmi, Zafar A. Khan, M. Waleed Ansari, Kamran Mujahid, Jiechao Gao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Energy forecasting
neural network
load forecasting
smart grids
energy balancing
multi-microgrid
Online Access:https://ieeexplore.ieee.org/document/10752508/
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https://ieeexplore.ieee.org/document/10752508/

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