pith:OZHDDVR4
Energy Management for Solar-Powered Electric-Bus Charging Station: A Data-Driven Method
A data-driven energy management system for solar-powered electric bus charging stations handles uncertainties in solar output, prices, and bus states using limited data.
arxiv:2605.14282 v1 · 2026-05-14 · eess.SY · cs.SY
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Claims
Case studies on a solar-powered EBCS with 20 EBs demonstrate the effectiveness of the proposed EMS and data-driven method.
The polynomial chaos expansion surrogate built from limited uncertainty samples, together with the nonparametric inference method, accurately represents the joint distribution of solar PV output, electricity prices, and EB arrival/departure states of charge.
A polynomial chaos expansion surrogate with nonparametric data enrichment enables effective energy management for solar-powered electric bus charging stations under multiple uncertainties.
References
Receipt and verification
| First computed | 2026-05-17T23:39:10.275115Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
764e31d63ced94ce7a83493904c554eb5935c2dfc723be1c9d39cf0349df437b
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OZHDDVR45WKM46UDJE4QJRKU5N \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 764e31d63ced94ce7a83493904c554eb5935c2dfc723be1c9d39cf0349df437b
Canonical record JSON
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