Work

Evaluating the role of AI and IoT in advancing sustainable energy transitions within the Indonesian energy sector

Year: 2026

Type: article

Abstract: As Indonesia navigates a critical energy transition aimed at Net Zero emissions by 2060, the integration of Machine Learning (ML) and the Internet of Things (IoT) has emerged as a primary catalyst for systemic change. This review synthesizes state-of-the-art literature to evaluate the transformative potential of digitalization within Indonesia’s archipelagic landscape. By analyzing over 170 multi-sectoral sources ranging from peer-reviewed technical studies to national policy frameworks, this article identifies key high-impact applications in AI-driven grid stability, predictive maintenance, and forecasting, and employs a comprehensive narrative review approach to synthesize technical and policy barriers. Moving beyond technological optimism to critically examine the "Digitalization Dilemma": the paradox where AI-driven efficiencies are counteracted by the escalating energy demands of data center infrastructure in a coal-heavy grid. The analysis reveals that while technical feasibility is high, implementation is currently throttled by a "Policy-Implementation Gap," infrastructure disparities across the outer islands, and significant cybersecurity vulnerabilities. This paper contributes a novel conceptual framework for a "Green AI" transition and offers strategic recommendations for aligning Indonesia’s digital roadmap with its decarbonization targets.

Source: Discover Artificial Intelligence

DOI: 10.1007/s44163-026-01180-9

Author: Nicholas Pranata

Institution: Multimedia Nusantara University

Language: English

Topic: Energy, Economy, and Technology Trends

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Climate action, Affordable and clean energy

Open Access status: gold

Estimated APC paid: $1,590