What changed from existing technology?
This study introduces a new method to better manage energy storage systems by improving how they handle power fluctuations from solar energy. It uses a modified algorithm to optimize energy distribution and reduce costs.
The study introduces an improved starfish optimization algorithm combined with variational mode decomposition and secondary correction for more accurate power allocation in hybrid energy storage systems.
Commercialization signals visible at publication
This is not a success probability or investment opinion. It prioritizes follow-up using evidence available when the paper was published.
Verified evidence · 1
OpenAlex author affiliations: Shijiazhuang Yiling Pharmaceutical (China)
Abstract ↗- 시제품·장치 구현 근거 미확인
- 제조·규모 확장 근거 미확인
- 장기·실사용 검증 근거 미확인
Later patent, company, clinical, and production events are added separately only after verification.
Patent check: Not checked yetCurrent technology stage: Early research
See what changed before reading the full paper.
What still needs to be solved?
Repeated real-world validation, manufacturability, cost, and long-term stability still require follow-up evidence.
What could change if this succeeds?
This strategy can be used to optimize power allocation in hybrid energy storage systems, improving efficiency and reducing costs in renewable energy applications.
Keep following this technology
Revisit changes when new papers, patents, company participation, validation, or products appear.
Evidence and sources
View paper and author affiliations
Open original researchA Power Allocation Strategy for Hybrid Energy Storage Systems Based on an Improved Starfish Optimization Algorithm Coupled with Variational Mode Decomposition and Secondary CorrectionEngineering Research Express · Published 2026-08-24 ↗Author institutions and listed legal entities are separated; only verified exchange and ticker data is linked.