Renewable energy platform company H Energy said on Wednesday it unveiled an artificial intelligence (AI)-based energy storage system (ESS) operations and management solution at the 2026 EnergyPlus Conference.

Hosted by the Korea Electrical Manufacturers Association, the event was held under the theme "The Future of Solar Power: Sustainable Innovation Through Distributed Energy and ESS" and discussed power system challenges stemming from the expansion of renewable energy.

In his presentation, Chief Executive Ham Il-han (함일한) said the wider rollout of renewables increases output volatility and adds to grid burdens. He pointed to limits in relying only on expanding facilities in an environment where volatile resources such as solar and wind are increasing. He stressed the urgency of advancing operations at the running stage.

Ham presented ESS combined with AI as a way to ease supply and demand instability. H Energy developed data interpretation and forecasting technology using large language models (LLMs). It said it improved forecasting accuracy by applying a foundation model trained on large amounts of data, beyond simple statistical models.

It added explainable AI (XAI) technology to improve predictability. The forecasting technology led to performance in operating virtual power plants (VPPs). While individual power plants have large generation errors depending on weather conditions, bundling them on a platform creates an aggregation effect that offsets errors. Ham stressed that when an optimization algorithm is applied to these aggregated resources, VPP operating profits improve by 20 to 40 percent from existing levels.

Ham said, "ESS, which had remained in the physical domain, is expected to become a key asset that solves structural limits of the power grid as it combines with advanced software such as LLMs."