Virtual Power Plant

ZOE VPP (Virtual Power Plant) platform provides device access and AI algorithm services for commercial ESS, distributed PV, charging piles, micro-grid and various load, to participate in grid dispatching. This helps distributed resources gain additional revenue from demand response, auxiliary services, and energy trading. 

Platform Functions

Resource Management

Load Forecasting

Invitation Management

Trading Declaration

Plan Tracking

Settlement Management

Core Advantages

First Batch of Deep Grid Cooperation

Distributed Resource Aggregation Capability

VPP Operation and Trading Strategy

Self-developed EMS and intelligent gateway

Big Data and Cloud Computing Architecture

Value of VPP


Generation Side - Increasing New Energy Absorption Levels

• Providing power regulation capabilities for new energy

Grid Side - Ensuring Stable Grid Operation

• Improving response capabilities of adjustable resources

• Providing auxiliary services for grid frequency and peak regulation, alleviating grid congestion
• Reducing grid investment and construction costs


Load Side - Ensure High-Quality Power Supply Services

•  Increasing asset profitability 
•  Offering transaction declaration and revenue analysis services
•   Providing energy-saving carbon reduction, and efficiency management services for power-consuming enterprises


Digital Foundation

Focusing on the demands of energy IoT and new power systems, the digital Foundation for the energy sector is constructed by integrating multiple mainstream big data technologies and AI algorithm frameworks to achieve multi-scenario, intelligent, stable, and efficient data and algorithm applications based on the big data platform.


Service Functions

Z-IoT Platform

Supports massive device access and multi-source data integration, forming a one-stop, standardized access and management service to meet the full lifecycle management needs from single devices to power stations.

Big Data Platform

Supports two data chains: time series database and data warehouse. The time series database supports stream computing and real-time index calculation, while the data warehouse supports big data computing and multi-scenario AI model training, such as battery modeling analysis, distributed PV power prediction, and load forecasting.

AI Algorithm Platform

Utilizes various machine learning and deep learning algorithms comprehensively, establishing multiple scenario-based AI algorithm models to serve intelligent charge-discharge strategies for industrial and commercial energy storage, multi-energy coordination, and trading strategies for virtual power plants.

Intelligent Prediction Algorithms

Provides high-precision new energy generation prediction across multiple timescales, data-driven multi-time scale load forecasting, and day-ahead and real-time spot price forecasting.

Meteorological Data Services

Offers weather API services including numerical weather forecast data from authoritative meteorological agencies, satellite radiation data, PV resource data, and weather forecast data.

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