Smart City Gnosys
Smart city article details
| Title | Application Of Ai/Iot For Smart Renewable Energy Management In Smart Cities |
|---|---|
| ID_Doc | 9779 |
| Authors | Bedi P.; Goyal S.B.; Rajawat A.S.; Shaw R.N.; Ghosh A. |
| Year | 2022 |
| Published | Studies in Computational Intelligence, 1002 |
| DOI | http://dx.doi.org/10.1007/978-981-16-7498-3_8 |
| Abstract | A city is considered to be smart when the application of Artificial Intelligence (AI) and the Internet of Things (IoT) is integrated with it. This enables the collection of data from people, devices, and buildings, then analyses are performed to optimize control over infrastructure, traffic, energy, etc. A smart city is a collective framework with the integration of Information and Communication Technologies (ICT) and Cloud that makes interaction easily with one another. In this chapter, smart energy infrastructure is studied to monitor energy utilization in the city and to reduce costs and carbon emissions. Energy usage has recently shifted focus to renewable energy sources with minimal carbon emissions, emphasizing the necessity for ongoing environmental and human health preservation. Renewable energy is becoming more abundant, and the issue is to recognize and understand it in meeting the increasing demand for clean, affordable energy. Customers, distributors, and government bodies are all concerned about cost and the climate. Artificial intelligence proclaimed a new age in technology as well as in sustainable development. So, in this chapter, an implication of AI is presented and analyzed for RE research in smart environments. Along with that, an analytical study is also presented with the application of AI or IoT for smart energy management for smart cities. The main aim is to focus on and explore the efficiency level of ML/IoT techniques. This work will also provide an in-depth analysis of innovative development, deployment, analysis, and management of smart energy in smart cities. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. |
| Author Keywords | Artificial intelligence (AI); Internet of Things (IoT); Machine learning (ML); Renewable energy; Smart cities; Smart grids |
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