Smart City Gnosys
Smart city article details
| Title | Smart Grid: Solid-State Transformer And Load Forecasting Techniques Using Artificial Intelligence |
|---|---|
| ID_Doc | 50982 |
| Authors | Yadeo D.; Sen S.; Saxena V. |
| Year | 2023 |
| Published | Artificial Intelligence and Machine Learning in Smart City Planning |
| DOI | http://dx.doi.org/10.1016/B978-0-323-99503-0.00006-5 |
| Abstract | Smart grid is a key technology in realization of the vision of smart city. It is an electricity network which can intelligently combine actions of all the users connected to it, in order to efficiently deliver sustainable, economic, and secured electricity supplies. It consists of various smart devices through which energy demand and supply can be managed efficiently. It enables integration of various renewable energy sources (RES), distributed generation, and energy storage devices feasible which will reduce the environmental impact due to reducing dependency on conventional power plant (thermal power plant). With intelligent operation of various assets in the smart grid, their performance can be optimized for better delivery system depending on consumer needs. It will also improve reliability and resiliency of the system along with improved power quality of the electricity network. © 2023 Elsevier Inc. All rights reserved. |
| Author Keywords | Artificial intelligence; Density; Load demand; Power plant; Renewable energy sources (RES); Smart grid |
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