Our works focus on advancing industry-relevant, data-driven research to support a reliable, inclusive, and sustainable energy transition. Through interdisciplinary projects, we connect advanced technology, policy insights, and real-world applications to address Indonesia’s evolving energy challenges.
This research develops a data-driven framework to improve electricity distribution in urban grids that integrate renewable energy. Using machine learning and probabilistic modeling, it generates high-resolution demand forecasts while accounting for uncertainties in renewable energy generation. The resulting optimization simulations aim to enhance grid stability, reduce energy waste, and support scalable, resilient urban energy systems.
Team
PhD student: Ruly Bayu Sitanggang
Supervisor: Professor Taufiq Asyhari and Associate Professor Markus Wagner
This research investigates the use of Pervasive AI—integrating AI, intelligent sensors, and IoT—to enhance energy efficiency in residential and office settings, including buildings with solar panels. By analyzing real-time data, weather forecasts, and user behavior, the system will generate dynamic recommendations to optimize energy use and prioritize solar energy when available. The project aims to develop an intelligent, scalable framework that predicts energy demand, optimizes appliance scheduling, and provides actionable insights to reduce waste and alleviate grid strain.
Team
PhD student: Imam Maulana Arief
Supervisor: Associate Professor M. Risqi Saputra, Associate Professor Markus Wagner, and Dr. Nur Ahmadi
This study evaluates the socioeconomic and environmental impacts of different renewable and non-renewable energy mixes in Indonesia to identify sustainable strategies tailored to regional community needs. Using a just energy transition framework, it emphasizes equitable outcomes and can be conducted by employing diverse methods, from social surveys to GIS mapping, across varying scales.
Team
PhD student: Kun Kanthi Indah Perwati
Supervisor: Assistant Professor Alyas Widita and Professor Megan Farrelly
