Energy, Environment, and Sustainability: Emerging Technologies and AI in Energy Management
Keywords:
Artificial intelligence, energy management, sustainability, smart grids, digital twin, renewable energyAbstract
The objective of this study was to systematically synthesize recent empirical evidence on the application of emerging technologies and artificial intelligence in energy management and to evaluate their contributions to energy efficiency, environmental performance, and sustainability outcomes. This study adopted a systematic review design and analyzed peer-reviewed journal articles published between 2020 and 2025. A comprehensive search was conducted across major scientific databases, and studies were screened using predefined inclusion and exclusion criteria focusing on artificial intelligence, emerging digital technologies, and energy management applications. Following duplicate removal and multi-stage screening, 16 eligible articles were selected for final analysis. Data were extracted using a structured framework covering AI techniques, application domains, and reported outcomes. A qualitative thematic synthesis was employed to integrate findings across heterogeneous study designs and contexts. The inferential synthesis revealed that artificial intelligence–based approaches consistently produced statistically and operationally significant improvements in energy management performance. Machine learning and deep learning models demonstrated superior accuracy in energy demand and renewable generation forecasting, while reinforcement learning and hybrid AI systems enhanced adaptive control and demand response. Across application domains, AI-driven solutions were associated with reductions in energy consumption, transmission losses, and greenhouse gas emissions, alongside improvements in grid stability, system reliability, and decision-support quality. These outcomes indicate a strong positive relationship between AI adoption and sustainability-oriented energy system performance. The findings confirm that emerging technologies and artificial intelligence play a critical enabling role in advancing efficient, resilient, and sustainable energy systems, although broader integration with environmental assessment, governance, and long-term impact evaluation remains necessary.
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