AI-Driven Next-Generation Power Systems
Empowering microgrids, data centers, and large-scale energy assets with intelligent planning and dynamic optimization — bridging NTU research excellence with real-world grid deployment.
NTU Spin-Off
Incubated by NTUitive
AI-Powered
LLM + Deep Reinforcement Learning
Industry-Proven
Real deployments across Asia
The Intelligent Brain for Modern Power Systems
Nanyang Power Solutions is an AI-driven energy technology company rooted in the deep academic heritage of Nanyang Technological University (NTU). Our core team brings together top-tier academic research and extensive industrial experience from leading global energy companies including ENGIE.
We are dedicated to providing the intelligent brain for modern power systems — spanning microgrids, energy storage, data centers, and virtual power plants (VPPs). By seamlessly integrating Large Language Models (LLMs) and Deep Reinforcement Learning (DRL), we bridge the gap between complex grid operations and market-driven energy optimization.
// ACADEMIC BACKING
AI-First Architecture
LLM + Deep Reinforcement Learning dual-engine, enabling real-time optimal decisions at millisecond scale.
Full-Spectrum Coverage
From buildings and microgrids to data centers, energy storage, and virtual power plants.
Risk-Aware Intelligence
Stochastic optimization and risk-based planning ensure robust returns under all market conditions.
Market-Driven Optimization
Integrated energy market strategies covering ancillary services, VPP aggregation, and bidding optimization.
Products & Solutions
From AI-powered EMS to risk-aware asset management, battery health prognosis, and strategic consulting — we cover the full spectrum of intelligent power system solutions.
Nanyang EMS
AI-Powered Energy Management System
Nanyang EMS is our flagship AI-powered Energy Management System, built on a proprietary LLM + Deep Reinforcement Learning (DRL) dual-engine architecture. It delivers real-time optimal scheduling decisions at millisecond scale, translating complex operational rules into mathematical constraints automatically.
// KEY FEATURES
// APPLICATIONS
Research Excellence & Industrial Impact
Our solutions are backed by world-class academic breakthroughs published in top IEEE journals and validated through complex industrial deployments with global partners.
Real-Time Optimal Power Flow with Linguistic Stipulations: Integrating GPT-Agent and Deep Reinforcement Learning
IEEE Transactions on Power Systems
★ Global First LLM+DRL for Power Optimization
Li-Ion Battery Doctor: A Fine-Tuned and Explainable Large Language Model for Health Prognosis
IEEE Transactions on Energy Conversion
★ Licensed to Infineon Technologies
A Multi-Agent Deep Reinforcement Learning Method for Cooperative Load Frequency Control of Multi-Area Power Systems
IEEE Transactions on Power Systems, vol. 35, 2020
★ Web of Science Highly Cited Paper
Optimal Coordinated Energy Dispatch for a Multi-Energy Microgrid in Grid-Connected and Islanded Modes
Applied Energy, vol. 210, 2018
★ 2018 Applied Energy Highly Cited Paper Award
Data-Driven Load Frequency Control for Stochastic Power Systems: A Deep Reinforcement Learning Method with Continuous Action Search
IEEE Transactions on Power Systems, vol. 34, 2019
★ Most Popular Paper of IEEE TPWRS, Mar 2019
World-Class Research Meets Industry Expertise
Our founding team combines deep academic excellence from NTU with hands-on industrial experience from leading global energy companies.
Prof. Xu Yan
徐岩 教授
Technical Advisor & Co-Founder
Prof. Xu Yan holds the Cham Tao Soon Endowed Chair in Engineering at NTU EEE — named after NTU's founding president. He directs the Centre for Power Engineering (CPE) and co-directs the SP Group–NTU Joint Lab. Recognized as a Stanford/Scopus World's Top 2% Scientist in Enabling & Strategic Technologies, he has an H-index of 88, over 24,500 citations, and 22 Web-of-Science Highly Cited Papers. Keynote speaker at Asia Clean Energy Summit (SIEW 2024) and COP28. Recipient of the 2024 Nanyang Research Award (Young Investigator) and IEEE PES Outstanding Engineer Award.
Dr. Liu Yang
刘洋 博士
CEO & Co-Founder
Dr. Liu Yang is an EMS product development expert with a rare combination of deep academic research and hands-on industrial experience. He has years of research experience in power system operation and electricity markets, and served as EMS Development Project Lead at ENGIE Singapore R&D Center, where he led the full-cycle development of industrial-grade energy management systems. He also conducted postdoctoral research at NTU, bridging cutting-edge AI research with real-world grid deployment.
Dr. Xie Dunjian
谢敦见 博士
CTO & Co-Founder
Dr. Xie Dunjian holds a Ph.D. in Power Systems and AI from Nanyang Technological University and was awarded the prestigious SP Group–NTU Presidential Postdoctoral Fellowship. He is the core developer of the Nanyang EMS platform and an expert in deep reinforcement learning, optimal power flow, electricity market mechanisms, and AI-driven energy management system architecture, with a strong track record in translating academic research into scalable industrial solutions.
Let's Build the Future Together
Whether you're looking for an AI-powered EMS, a strategic energy consulting partner, or exploring research collaboration — we'd love to hear from you.
ADDRESS
71 Nanyang Drive, #05-08,
Singapore 637553
// NTU SPIN-OFF
Nanyang Power Solutions is an NTU spin-off incubated by NTUitive, the innovation and enterprise company of Nanyang Technological University, Singapore.