AI-Powered Green Energy: Transforming the Renewable Landscape
AI駆動のグリーンエネルギー：再生可能エネルギーの展望を変革する (AI 翻訳)
Lila Simon, Abino Simon, Aalbin Simon
🤖 gxceed AI 要約
日本語
本書は、持続可能なエネルギー生態系の実現に向けて、AIと再生可能エネルギーの統合を探求する。インドと世界の再生可能エネルギー状況を概観し、太陽光、風力、水力、バイオマス、地熱の各分野におけるAIの応用（予測分析、エネルギー予測、スマートグリッド管理、消費最適化、分散型マイクログリッド）を検討する。効率向上、コスト削減、リアルタイム意思決定を可能にするAIの役割を強調し、課題（初期コスト、データプライバシー、規制ギャップ、人材不足）と今後の方向性を示す。
English
This chapter explores the integration of AI and renewable energy for a sustainable energy ecosystem. It reviews the renewable landscape in India and globally, detailing AI applications in solar, wind, hydro, biomass, and geothermal, including predictive analytics, energy forecasting, smart grid management, and decentralized microgrids. It highlights AI's role in enhancing efficiency, reducing costs, and enabling real-time decisions, while acknowledging challenges like high costs, data privacy, and regulatory gaps. The chapter emphasizes AI's pivotal role in accelerating the clean energy transition, especially in emerging economies like India.
Unofficial AI-generated summary based on the public title and abstract. Not an official translation.
📝 gxceed 編集解説 — Why this matters
日本のGX文脈において
日本のGX政策（GX推進戦略、再生可能エネルギー導入拡大）と親和性が高く、AIを活用した需給調整や分散型エネルギー管理の示唆を与える。日本のエネルギー企業や政策立案者にとって、再生可能エネルギー統合におけるAIの可能性と課題を整理する上で参考になる。
In the global GX context
This chapter contributes to the global discourse on AI-enabled energy transition, aligning with international frameworks like the Paris Agreement and SDG 7. It provides a comprehensive overview of AI applications in renewable energy, offering insights for policymakers and practitioners in both developed and emerging economies. The emphasis on India's context adds a valuable perspective on scaling clean energy in developing nations.
👥 読者別の含意
🔬研究者:AIと再生可能エネルギーの統合に関する包括的なレビューとして、研究の方向性を俯瞰するのに有用。
🏢実務担当者:再生可能エネルギープロジェクトにおけるAI適用の機会と課題を理解するための入門資料。
🏛政策担当者:AIを活用したエネルギー政策の立案や規制整備の参考になる。
📄 Abstract（原文）
This chapter explores the transformative merging of aartificial intelligence (AI) and renewable energy in the quest for a sustainable and resilient global energy ecosystem. With rising concerns over climate change and fossil fuel depletion, the integration of AI in green energy systems emerges as a strategic imperative. This chapter outline the current renewable energy landscape in India and globally and had tried to detail the roles of solar, wind, hydro, biomass, and geothermal energy. The authors also have tried to investigate the AI applications in predictive analytics, energy forecasting, smart grid management, consumption optimization, and decentralized micro grid systems. By enhancing efficiency, reducing costs, and enabling real-time decision-making, AI technologies are redefining energy production, distribution, and consumption. The opportunities discussed include technological innovation, economic growth, global collaboration, and community empowerment. However, the chapter also acknowledges challenges such as high initial costs, data privacy concerns, regulatory gaps, and the need for skilled personnel. The way forward emphasizes investment in research, 78 capacity building, collaborative creativities, regulatory development, and public awareness. Through a balanced analysis, this chapter highlights AI’s pivotal role in accelerating the transition toward clean energy, contributing to environmental preservation, economic development, and energy access, especially in emerging economies like India.
🔗 Provenance — このレコードを発見したソース
- openalex https://doi.org/10.1201/9781779640451-6first seen 2026-08-07 04:53:38
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gxceed は公開メタデータに基づく研究支援データセットです。要約・翻訳・解説は AI 支援で生成されています。 最終的な解釈・検証は利用者が原典資料に基づいて行うことを前提とします。