Power Consumption Analytics
Large-scale Consumption Behavior Analysis and Load Forecasting
An integrated capability stack covering storage, governance, analytics, modeling, and services — making complex consumption analysis more efficient and easier to deploy.
Request DemoAdvanced Consumption Analytics
Wide deployment of smart meters and consumption data collection systems has left grid operators, electricity retailers, industrial parks, and large commercial users sitting on vast volumes of time-series consumption data alongside billing, equipment, and other multi-dimensional information.
Beyond efficient storage and querying, these organizations need to analyze historical consumption patterns against external factors — weather, holidays, and industrial activity — to support load forecasting, long-term trend analysis, user profiling, personalized energy recommendations, and anomaly detection.
DolphinDB Solution
Efficient Storage and Query for Massive Data
- A partitioned, high-compression storage engine supports high-throughput writes and multi-year historical retention at scale.
- Multi-dimensional queries by user, industry, region, and time window support high-concurrency access, second-level aggregation, and complex filtering.
Built-In Data Transformation and Cleansing
- DolphinDB's scripting language and 2,000+ built-in functions handle missing value detection, deduplication, anomalous spike and jump detection, and smoothing directly within the database.
- Multiple gap-filling strategies based on rules, time-series patterns, sliding windows, and seasonal cycles enable efficient, reusable data governance workflows.
Machine Learning for Load Forecasting
DolphinDB handles data cleansing and feature engineering, trains and runs built-in machine learning models, and integrates with the Libtorch plugin for deep learning — delivering load forecasts that feed directly into business systems.
Consumption Behavior and Trend Analysis
Extract behavioral features from consumption curves to build user profiles, perform trend analysis, segmentation, and anomaly detection, and generate personalized energy recommendations — supporting business decisions, energy efficiency optimization, and risk early warning.
Key Benefits
Full Utilization of Consumption Data
Long-term storage and fast analytics across hundreds of millions of smart meters and high-frequency consumption curves — giving operators a solid foundation for precision operations.
Faster Model Iteration
Behavior analysis and load forecasting models run directly on DolphinDB, eliminating cross-system data movement and accelerating model training, validation, and iteration.
Smarter Energy Services
Help utilities move from traditional meter reading and billing toward precision energy services — enabling user profiling, consumption insights, and personalized recommendations that improve operational value and customer experience.
Store and analyze hundreds of millions of smart meter and high-frequency consumption curves at scaleAccelerate load forecasting, trend analysis, and consumption behavior analyticsRun complex models closer to the data, cutting iteration timeShift from traditional metering and billing toward precision energy services and value-driven operations