Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
5Unique collaborators
1/1OpenAlex citation coverage
Publication dates unavailable. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5064127871
ORCID evidence
Observed aliases (1)
- Tawat Suriwong (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Productivity: 1 paper
Claim outcomes
- Consumer Welfare: 1 paper
- Firm Productivity: 1 paper
- Other: 1 paper
- Adoption Rate: 1 paper
- Innovation Output: 1 paper
- Organizational Efficiency: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| AI-enabled forecasting and intelligent dispatch can materially raise revenues, extend life and cut emissions for grid-scale batteries, improving levelized cost of storage and payback times; however, most claimed gains stem from simulations and isolated demos, and scaling them requires better data, lighter algorithms and market rules that reward speed and degradation-aware operation.semantic_scholar | Tawat Suriwong orcid |
Fetched 2026-03-15 | 4 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 4 cumulative citations. This is a coverage summary, not an author score or h-index.