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Integrating AI-Optimized Smart Grids With Renewable Energy for Accelerated Net-Zero Transition
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Author(s): Nikhil Jain (SmartThings, Inc., USA)
Copyright: 2026
Pages: 38
Source title:
The Future of Green Energy: Storage, Materials, Alternative Fuels, and Net-Zero Strategies
Source Author(s)/Editor(s): Shaik Mazhar Hussain (Middle East College, Oman), Shafiq Ul Rehman (Kingdom University, Bahrain), Anupam Srivastav (Middle East College, Oman), Anilloy Augustine Frank (Presidency University, India)and Ahmed Nawaz Hakro (Middle East College, Oman)
DOI: 10.4018/979-8-3373-3226-0.ch015
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Abstract
This chapter explores how artificial intelligence (AI) transforms smart grid design to support net-zero energy systems. Drawing from computing, civil, and electronics engineering, as well as energy policy and ethics, it combines literature synthesis with case and policy analysis. The chapter highlights AI's role in enabling predictive load management, renewable energy integration, real-time control, and decentralized energy trading. It also addresses algorithmic bias, data governance, and socio-technical challenges in developing regions. Key findings include a framework for AI-enabled infrastructure, digital twin applications, and a model for ethical, sustainable energy transfer. Ultimately, AI is shown not just as a tool, but as a driving force for adaptive, inclusive, and climate-resilient energy systems.
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