The partnership aims to create AI-powered instruments to refine investment choices.

Wedoany.com Report-Feb 26, Nanyang Technological University Singapore (NTU Singapore) and Trinasolar, a Chinese solar photovoltaic module manufacturer, have teamed up to develop AI-enhanced smart energy storage solutions.

This partnership aims to improve the efficiency, reliability, and cost-effectiveness of renewable energy systems, focusing on advanced energy storage technologies. The effort targets optimizing energy usage and ensuring stability in electricity networks.

Led by NTU’s Energy Research Institute, the collaboration will produce AI-driven tools to support investment decisions. It seeks to boost system dependability through precise energy forecasts and create smart optimization methods for various energy storage applications. The project supports the worldwide growth of solar, wind, and hydrogen energy sources.

Professor Lam Khin Yong, NTU’s vice-president (industry), remarked: “The partnership between NTU and Trinasolar reflects our commitment to advancing energy technologies that will support global efforts towards a low-carbon future. NTU has deep links with industry players and a strong track record in successful industry collaborations for renewable energy power grids, enabling smooth commercialisation pathways for any intellectual property developed in our joint partnerships. By aligning cutting-edge research with industry needs, we want to develop impactful solutions that build a more sustainable and energy-resilient future.”

The collaboration between NTU Singapore and Trinasolar concentrates on three core areas. It will refine smart investment decision-making, enhance system stability with AI-based forecasting, and devise intelligent optimization algorithms. These aspects address critical needs in smart energy storage.

The partnership has been solidified through a technology research collaboration agreement between Trinasolar and NTU Singapore. Both entities plan to deepen their joint work in AI-driven energy storage applications and innovate to meet demands within the renewable energy field.

This initiative combines academic research with practical industry requirements, aiming to deliver solutions that advance sustainable energy practices globally. The focus on AI technology underscores a shared goal of improving renewable energy infrastructure for broader adoption and reliability.