Analysis of Intelligent Power Grid Based on Internet of Things

DOI

10.2991/978-94-6463-986-5_92How to use a DOI?

Keywords

IoT; Smart Grid; Intelligent Operation; Adjustable Regulation

Abstract

The rapid development of the Internet of Things (IoT) has driven innovation in the power sector, and traditional power grids face challenges like energy waste and low reliability. This paper explores IoT-based intelligent power grids, analyzing their theoretical basis, including global power grid development differences and IoT’s concept, evolution, and core characteristics, and key applications: intelligent operation via AI for load forecasting, fault diagnosis, etc., with cases like ENEL’s Long Short-Term Memory (LSTM) system, adjustable regulation, and measurable monitoring. It also addresses challenges such as protocol fragmentation. In conclusion, IoT-integrated smart grids are crucial for modern energy systems. They are the fundamental for a sustainable, efficient, and resilient global energy future. Against the backdrop of global energy transition—with rising renewable energy penetration—traditional grids’ limitations (poor real-time monitoring, supply-demand imbalance, high maintenance costs) become prominent. IoT, with comprehensive perception, reliable transmission, and intelligent processing, connects equipment into a unified network, enabling full-life-cycle energy management. Typical cases verify IoT’s role in improving efficiency and reducing emissions, while noting that resolving protocol fragmentation and regional differences is key to advancing its large-scale application, supporting global carbon neutrality goals.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Zongheng Yang
PY  - 2026
DA  - 2026/02/18
TI  - Analysis of Intelligent Power Grid Based on Internet of Things
BT  - Proceedings of the 2025 International Conference on Electronics, Electrical and Grid Technology (ICEEGT 2025)
PB  - Atlantis Press
SP  - 899
EP  - 907
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-986-5_92
DO  - 10.2991/978-94-6463-986-5_92
ID  - Yang2026
ER  -