Dataset opportunity
Renewableconnections — 工业传感器数据集机会
Renewableconnections 持有的中等规模工业传感器数据集，可用于预测性维护和异常检测。
Score
74.1
Score (0–100) blends weighted dimensions — dataset rarity, training value, buyer demand, evidence strength and right-to-license. 70+ is deal-ready. See the scored dimensions below for the breakdown.Confidence
56%
Action
合作（集团层面）
The recommended deal structure for this dataset: Acquire (full buyout), License (paid usage rights), Data Sharing Agreement (controlled access, no transfer of ownership), Partnership (co-development) or Annotation Program (labeling). Chosen from data ownership, licensing complexity and accessibility.Market
全球预测性维护市场规模在 2024 年价值为 129.4 亿美元，预计 CAGR 为 26.9%（2026–2033 年）。[4]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-11
Transmission projects bolster New York, New England summer reliability: NPCC
utilitydive.com ↗ - 📰press2026-06-11
Appeals court upholds FERC decision ordering refunds from MISO transmission owners
utilitydive.com ↗ - 📰press2026-06-11
Financement de la décarbonation de l’industrie : présentations
greenunivers.com ↗ - 📰press2026-06-11
Le nouveau tandem stockage + hydro d’EDF n’arbitre pas sur les marchés de gros
greenunivers.com ↗ - 📰press2026-06-10
Sonoma Clean Power aims for 1,000 no-cost smart thermostats amid VPP push
utilitydive.com ↗
Lineage
How this lead was derived
The signal-first chain, end to end: recent external signals → qualified niche → resolved data-holder → site verification → scored opportunity. Every lead is explainable.
Concrete evidence this company actively cares about data — why it's ripe for the deal room.
- 🤝Data partnership
Rivington Energy 集团的一部分，由 Federated Hermes 大部分拥有
source ↗
Profile
Dataset profile
Type
工业传感器数据集
Modality
时间序列
Sector
工业
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
部分
Legal
公司所有 — 可授权许可
Buyer persona
工业人工智能与维护优化供应商
Renewableconnections 持有源自其可再生能源资产组合的专有工业传感器数据集。这些高保真时间序列数据源自广泛的 `iot_data` 和 `industrial_data` 流，提供了精细化的运营指标，非常适合开发和训练强大的预测性维护模型。该数据集捕获了真实的设备性能、异常和运营状况，使其特别适合旨在预测组件故障和优化维护计划的 AI 买家。
全球预测性维护市场在 2024 年的价值为 129.4 亿美元，预计到 2033 年将以惊人的 CAGR 26.9% 的速度增长，这表明了巨大的需求。[4] 这一显著的市场规模凸显了获取此类稀有运营级数据集的价值。虽然访问权限需经母公司 Federated Hermes 的合规批准，并可能需要向电网运营商进行报告，但该数据在高价值工业应用中解锁显著效率提升和成本降低的潜力，使其成为一个引人注目的收购目标。⚠ 尽职调查（有价值的数据，可协商的访问权限）：Federated Hermes Limited 的子公司；数据访问可能需要集团层面的合规批准；运营数据可能受电网运营商 (NESO) 报告要求的约束；资产数据的所有权可能与项目特定的投资伙伴共享。· 公司：Federated Hermes Limited 的子公司。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
公开证据证实 Renewable Connections 拥有来自其大规模英国可再生能源业务的专有工业传感器数据。这些时间序列数据源自持续的资产监控和维护，是训练预测性维护算法的优质资产。对于工业人工智能供应商而言，该数据集提供了一个难得的机会，可以在一个快速增长且预计将超过 129.4 亿美元的市场中开发和验证资产优化模型。
See dimension details ↓- Dataset Specificity90
主导的 'iot_data'，工业领域，3 种特定类型
How sharply the data targets a specific, hard-to-substitute domain or task. Niche, well-defined data scores higher than generic. - Dataset Rarity82
专有领域数据
How scarce and proprietary the data is. Unique domain data scores high; openly available data lowers it. - Dataset Volume58
4 个证据命中
Apparent scale of the data, inferred from the number of evidence hits and any explicit volume mentions. - Dataset Freshness82
实时/流式传输
How current the data stays — real-time/streaming scores highest, periodic dumps lower. - Training Value84
适用于预测性维护
How useful the data is for the target AI use-case — its fit for model training or fine-tuning. - Buyer Demand85
预测性维护市场，该市场基本依赖工业传感器数据，预计从 2026 年到 2031 年的 CAGR 将达到 34.14%，这表明对构建和训练所需数据集的需求极高且正在加速。
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility62
开放/API 访问
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility0
高难度，Federated Hermes Limited 的子公司
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength74
4 种证据类型，4 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License92
所有权=已拥有，许可=干净
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence50
Federated Hermes Limited 的子公司
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation39
1 个数据需求信号（1 种类型）
How actively the company invests in data, measured by its data-appetite signals (hires, products, APIs…). - Dormant Data Surplus92
盈余=高，5 个近期外部信号 — 专有数据超出已货币化的部分
Volume and value of proprietary data this company holds BEYOND what it already monetises — the dormant surplus we can unlock. A company can sell some insights AND still sit on a far larger dormant asset. - ICP Audit100
✓ 良好目标 — 该公司开发、建设并进行可再生能源项目（太阳能和电池）的运营资产管理，在此过程中会产生专有的传感器和性能数据作为副产品，使其成为理想目标，因为其核心业务是提供服务，而不是销售数据。问题：该公司是 Rivington Energy 的子公司，而 Rivington Energy 由 Federated Hermes Limited 大部分拥有；这种公司结构可能会增加交易的复杂性。[; 必须谨慎]
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
Developer portal
该公司的面向公众的门户网站将其确立为英国领先的可再生能源项目开发商，包括电池储能，证实了其数据生成运营的工业背景和规模。
IoT / sensor data
该证据明确提到了使用智能软件对电池储能系统 (BESS) 进行持续监控和优化，证明了收集精细化的 IoT 数据，非常适合训练能源管理和预测模型。
Geospatial data
持有方记录了其在英国战略位置拥有超过 1.25GW 的资产组合，提供了有价值的地理数据，可以通过将资产性能与特定位置因素相关联来丰富 AI 模型。
Industrial data
这证实了该公司提供专业的维护和监控服务以优化资产性能，直接证明了生成对开发预测性维护解决方案至关重要的、高价值的工业数据。
Marketplace
Dataset details
Geographic coverage
UK
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series
License
One-time license for developing and training predictive maintenance models. Usage restrictions may apply to redistribution or resale of raw data.
Personal data
No PII
Indicative estimate, derived from public signals — not a quote, not contractual, and not agreed with the company. Is this your company? Correct it.
This proprietary industrial sensor dataset from renewable energy assets is highly valuable for predictive maintenance due to its rarity, real-time freshness, and direct application to a rapidly growing market. The demand is driven by the significant projected growth of the global predictive maintenance market.
Detailed schema & sample available on access request.
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This listing was generated automatically from public signals. It is not verified, and we are not affiliated with this company.
Coverage
Scanned sources
Deliverable
Premium dataset report
Renewableconnections Industrial Sensor — a Moderate industrial sensor dataset (Time Series modality) in the industrial domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market size was valued at USD 12.94 Billion in 2024, poised to grow at a CAGR of 26.9% (2026–2033). [4]. Investment score 74.1/100 (confidence 0.56). Recommended action: Partnership (group-level).
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