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Wiley-ISTE

Artificial Intelligence for Sustainable Energy Systems 2

Artificial Intelligence for Sustainable Energy Systems 2

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Editors

Inam Ul Haq (Editor) and Sanna Mehraj Kak (Editor), et al.

ISBN: 9781836691433

Published: 2026

Format: Hardcover

Language: English

Publisher: Wiley-ISTE

Description

Artificial Intelligence for Sustainable Energy Systems 2: AI-Driven Innovations, Climate Intelligence, and Pathways to Net-Zero Energy advances the global dialogue on clean energy transformation by showcasing how intelligent technologies are shaping the future of renewable power, climate resilience and net-zero strategies. It covers AI-driven innovations across the renewable energy value chain, from generation forecasting and grid integration to climate intelligence and pathways toward net-zero energy systems. With energy markets swinging on supply-side shocks in 2026, the operational AI tools this volume covers — forecasting, grid stability, predictive maintenance — have moved from a sustainability nice-to-have to a resilience necessity.

Key Features

Second volume in the Artificial Intelligence for Sustainable Energy Systems series

Covers the full renewable energy value chain, from forecasting to grid integration

Connects AI-driven innovation directly to climate intelligence and net-zero policy pathways

Published by Wiley-ISTE, a leading academic and professional publisher in engineering and technology

Coverage

AI-Driven Innovations in Renewable Energy Systems; Climate Intelligence and Predictive Modelling; Smart Grid Integration and Demand Forecasting; Pathways to Net-Zero Energy; AI for Energy Storage and Management; Policy and Governance Implications of AI in the Energy Transition

Practical Applications

AI for renewable generation forecasting, storage optimization, predictive maintenance on turbines and grid assets, and route/dispatch planning aligned with net-zero targets — the applied side of every chapter in this volume.

About the Authors

Inam Ul Haq and Sanna Mehraj Kak lead an international team of contributing researchers and engineers specializing in artificial intelligence applications for renewable energy, climate modelling and sustainable infrastructure.

Table of Contents

Introduction; AI-Driven Innovations in Renewable Energy; Climate Intelligence and Predictive Modelling; Smart Grid Integration and Demand Forecasting; Pathways to Net-Zero Energy; AI for Energy Storage and Management; Policy and Governance Implications; Conclusion.

Why buy this book?

For energy and engineering libraries, this volume is a current, practice-oriented reference connecting AI methods directly to renewable energy deployment and net-zero policy. For engineers and policymakers, it provides applied frameworks for grid integration, forecasting and energy storage decisions shaping the energy transition.

Ideal for

Academic and research libraries building an AI-and-energy collection; engineering faculties; utilities and grid operators; energy policy teams evaluating AI-driven net-zero strategy.

Keywords

AI in energy systems, renewable energy AI, climate intelligence, net-zero energy, smart grid AI, energy storage AI, sustainable energy transition, energy policy AI

Target Audience

Energy engineers, sustainability professionals, policymakers and regulators, professionals in technology, academics

Genre

Energy, Technology, Artificial Intelligence

Q&A

How is artificial intelligence used in renewable energy systems?
AI supports generation forecasting, smart grid integration, demand forecasting and predictive maintenance across the renewable energy value chain.

What role does AI play in reaching net-zero targets?
AI-driven optimisation and predictive modelling help utilities and governments plan realistic, data-backed pathways toward net-zero energy systems.

Is this a standalone volume?
It's Volume 2 in the series, focusing specifically on AI-driven innovations, climate intelligence and net-zero pathways.

Does it address energy storage?
Yes, including AI applications for energy storage and management alongside grid-level demand forecasting.

Who publishes this book?
Wiley-ISTE, a leading academic and professional publisher in engineering and technology.

Where can I buy Artificial Intelligence for Sustainable Energy Systems 2?
You can order this title directly from CLNZ Books, with worldwide delivery via international courier.

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