Artificial Intelligence and IOT Enabled Smart Renewable Energy Systems
Year: 2026
Type: article
Abstract: The persistent and the continuous rate of growth of the energy demand combines the growing concern over the sustainability has increased the utilizing of the renewable energy resource such as the solar and the wind power. But the thing is that the sources itself are intermittent and unpredictable which leads to grid stability and balance of loads and optimization of energy. The paper provides the integrated system which has both the artificial intelligence (AI) and internet of things (IOT) the basic purpose of using the mathematical based optimization models is to reduce the discrepancy between the supply and demand without breaking the particular storage restrictions. The article shows the models controlled by AI which can reduce the disturbance of forecast and helps in improving the performance of energy consumption compared to the traditional reactive approach.
Authors: Surabhi Kappgal Srinath, Dr Manish Kumar
Language: English
Topic: Smart Grid Energy Management
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7157005853
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