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01Energy

Energy Industry Data Solutions

Wind, solar, storage — with so much data, just ask and know.

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02Pain Points

Energy data challenge: lots of equipment, lots of data, but few people can read it.

01

Complex Data Sources

Wind, solar, storage — each with its own monitoring system, different formats, manual work is heavy

02

Analysis Depends on Experts

Equipment anomaly analysis needs senior engineers — scarce talent, slow response

03

BI Tools Have a Learning Curve

Traditional BI requires training, field technicians can't use it independently

04

Fault Detection is Late

Equipment anomalies are often noticed after power output is affected, missing the best intervention window

03Solution

One platform for your entire energy data pipeline.

Application Scenarios
Generation Analytics
Natural language query
Ops Monitoring
AI anomaly alert
Dispatch Optimization
Smart suggestions
Core Engine
AskTable
AI Data Analysis Engine
لغة طبيعيةحوار متعددتنبيه 24/7إسناد ذكي
Data Sources
DB
MySQL
DW
Doris
📊
Excel
📊
Lark Base
API
API
SYSTEMS
☁️
Alibaba Cloud
☁️
Tencent Cloud
🔥
Volcano Engine
Wind / Solar / Storage / Grid unified analysis
04Scenarios

Three key scenarios for energy data success.

Real-time Generation Queries

Ops staff asks "yesterday's wind farm generation ranking" — gets answer in 3 seconds

Typical questions
Natural language, no technical background needed
Multi-farm unified query
Direct report export
Roles
Ops, Dispatch
05Capabilities

Core capabilities powering energy data scenarios.

Multi-system Integration

Natural Language Query

Anomaly Alert

Multi-turn Dialogue

Dispatch Optimization

Private Deployment

Let energy data truly serve your ops decisions

Book a deep-dive call to see how AI can transform your energy operations.

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Private deployment availableData stays on-premise24/7 Support