Dataset opportunity
Greenely — 传感器遥测数据集机会
Greenely 持有的中等规模传感器遥测数据集，可用于预测性维护和异常检测。
Score
47.5
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
49%
Action
数据共享协议
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在 2024 年的估值为 123 亿美元，复合年增长率为 29.7%（来源：Custom Market Insights）。[6]
Recent dated external facts that triggered this opportunity — auditable provenance.
- 📰press2026-06-18
FERC Orders All Six Regional Grid Operators to Justify or Rewrite Large-Load Tariffs
powermag.com ↗ - 📰press2026-06-18
Trump administration buys out 4 more offshore wind leases for $765M
utilitydive.com ↗ - 📰press2026-06-18
Quantum Sensor Ambitions: A New Horizon for Utility Innovation
powermag.com ↗ - 📰press2026-06-18
Carbon Direct releases low-carbon fuels criteria to help voluntary buyers
utilitydive.com ↗ - 📰press2026-06-18
DOJ intervenes on behalf of xAI in data center gas turbine lawsuit
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.
Profile
Dataset profile
Type
传感器遥测数据集
Modality
时间序列
Sector
其他
Volume
中等
Freshness
实时
Rarity
高（专有）
Accessibility
受限
Legal
混合所有权 — GDPR 敏感（个人身份信息审查）
Buyer persona
工业人工智能与维护优化供应商
Greenely 持有一个传感器遥测数据集，该数据集由来自住宅智能电表的高频时间序列数据组成。此 `iot_data` 和 `event_streams` 集合提供了对家庭能源消耗模式的精细洞察，为开发和训练电网资产和家用电器的预测性维护算法奠定了理想基础。
全球预测性维护市场在 2024 年的价值为 123 亿美元，预计将以惊人的 29.7% 的复合年增长率增长。[6] 虽然访问此住宅能源数据具有高度的 GDPR 敏感性，并且需要明确的最终用户同意才能货币化，但其稀缺性及其在这一高增长市场的直接适用性使其成为旨在创新能源管理和基础设施可靠性的 AI 买家的宝贵资产。⚠ 尽职调查（有价值的数据，可协商的访问权限）：住宅能源数据具有高度的 GDPR 敏感性；数据所有权与最终用户（家庭）共享；需要明确同意才能进行能源优化以外的二次数据货币化。· 公司：独立。
Scoring
Scored dimensions
Explainable, evidence-based dimensions (0–100). The radar shows the investment axes.
这些证据共同证明 Greenely 拥有来自集成家庭能源生态系统的实时传感器遥测的专有、高稀缺性数据集。该数据捕获每分钟的电力使用量、电动汽车充电、太阳能发电和电网交互，为开发预测性维护模型提供了丰富的时间序列信号来源，这些模型可以优化能源资产并预测故障。在全球市场预计每年增长近 30% 的情况下，这种独特的数据为下一代能源优化算法的训练提供了显著的竞争优势。
See dimension details ↓- Dataset Specificity74
主导的 'iot_data'，行业其他，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 Volume52
3 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 Demand90
AI 买家需求异常高，这得益于预测性维护市场近 30% 的复合年增长率，而此类物联网数据是其主要输入。[6]
How strongly AI builders and companies are likely to want this data, based on market signals. - Legal Accessibility20
受限/未知
How legally easy the data is to obtain and use — open/API access scores high; PII or regulated data scores low. - Acquisition Feasibility30
中等难度，独立
How realistic it is to actually obtain the data, given access difficulty and the holder's corporate structure. - Evidence Strength62
3 种证据类型，3 次命中
How solid the proof is that the company holds this data — diversity of evidence types and number of hits. - Right to License28
所有权=混合，许可=GDPR 敏感
Whether the company can legally license the data out — based on ownership and licensing complexity. - Corporate Independence90
独立
Whether the holder can decide alone — an independent company scores higher than a subsidiary of a large group. - Data Orientation22
0 个数据胃口信号（0 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 — 超出已货币化范围的专有数据
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 Audit58
⚠ 审查 — 该公司的核心业务是向消费者销售能源管理软件平台和电力合同，提供洞察和优化服务，这使其成为一个糟糕的目标，因为它已经销售了智能信息。问题：该公司的核心产品是一款应用程序，可为家庭能源消耗提供分析、洞察和人工智能驱动的优化。[2, 9, 12, 18]；这是一个“销售智能”的商业模式，属于明确的排除标准；数据的使用
- Deep Qualification90
✓ 通过 — Greenely 作为 B2C 能源管理服务商运营，作为其优化和电网平衡服务的副产品，拥有有价值但高度受限的住宅能源数据，没有证据表明存在数据货币化策略。
Evidence
Dataset evidence & lineage
What the typed evidence proves the company holds — reframed for clarity and set against the market.
IoT / sensor data
这些证据证实了从住宅智能电表中收集的精细、每分钟的物联网数据，为异常检测模型提供了对家庭能源消耗模式的直接、高保真视图。
Event streams
这些证据表明集成了来自电动汽车、电池和太阳能电池板等各种资产的多个事件流，这对于构建复杂、互联能源系统的预测模型至关重要。
Industrial data
这些证据表明该数据集包含关于电网级交互的工业级数据，例如管理盈余能源，这对于开发电网稳定和分布式能源资源管理解决方案的供应商至关重要。
Marketplace
Dataset details
Geographic coverage
Global
Time range
Real-time
Update frequency
Real-time
Delivery
API
Formats
Time Series, JSON
License
One-time license for use in predictive maintenance model development and training, subject to strict GDPR compliance and end-user consent verification.
Personal data
Contains 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 dataset's value is driven by its high rarity as proprietary, real-time sensor telemetry from residential smart energy meters, directly applicable to the rapidly growing predictive maintenance market. The GDPR sensitivity and need for end-user consent, however, introduce legal risk and impact liquidity.
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
Greenely Sensor Telemetry — a Moderate sensor telemetry dataset (Time Series modality) in the other domain. Primary AI use-case: Predictive Maintenance. Market signal: Global Predictive Maintenance Market was valued at USD 12.3 Billion in 2024, CAGR 29.7% (source: Custom Market Insights). [6]. Investment score 47.5/100 (confidence 0.49). Recommended action: Data Sharing Agreement.
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