iEMS (AI+EMS)

iEMS (Intelligent EMS — AI Technology)
Key Customers

Basic Informations

Model iEMS (AI+EMS)
Type iEMS (Intelligent EMS — AI Technology)
LIST

Next-Generation AI-Driven Energy Management (iEMS)

1. Overview
Moving beyond traditional monitoring (CEMS), our iEMS leverages advanced AI algorithms to predict power generation and System Marginal Price (SMP). This ensures maximized revenue and extended equipment lifespan through data-driven automation.

2. Core Strategic Benefits
- Profit Maximization: Reduces generation forecast error to below 8%, securing settlement incentives and improving annual revenue by 10~20%.
- Asset Optimization: Extends battery life by 10~20% and slashes maintenance costs by 30~50% through proactive preventive maintenance.
- Operational Automation: Minimizes labor costs via daily automated scheduling and real-time correction cycles.
- Future Scalability: Built on a microservice architecture for seamless VPP (Virtual Power Plant) integration and long-term data asset accumulation.






Smart Operations & Predictive Intelligence

1. AI-Powered Forecasting & Scheduling
- High-Precision Analytics: Utilizes an ensemble of LSTM, XGB, and Prophet models to accurately forecast daily and next-day generation (Targeting MAPE ≤ 8.0%).
- Optimized Charging/Discharging: Automatically generates the most profitable "Charging-Discharging Timeline" by analyzing real-time SMP fluctuations and State of Charge (SOC).

2. Predictive Maintenance & Anomaly Detection
- AI Health Scoring: Monitors voltage deviations in BMS racks and PCS temperature trends in real-time to calculate risk scores (0?100 scale)..
- Proactive Alerts: Identifies early signs of failure before they occur and predicts the precise battery replacement timing by tracking SOH (State of Health).

3. Integrated Dashboard
- Provides an intuitive UI to manage multiple power plants at a glance. Operators can compare "Forecast vs. Actual" performance in real-time for rapid decision-making.







Customizable Strategy: One-Click AI Presets

1. Revenue-First Mode
- Strategy: Focuses on discharging during peak SMP hours to maximize short-term profit.
- Best For: Sites prioritizing rapid ROI and aggressive revenue capture

2. Equipment-First Mode
- Strategy: Prioritizes battery health by maintaining conservative Depth of Discharge (DoD) levels.
- Best For: Long-term operators focused on minimizing SOH degradation and avoiding maintenance risks.

3. Balanced Mode (AI Recommended)
- Strategy: The optimal middle ground that balances high profitability with equipment longevity.
- Best For: Standard operations seeking sustainable, high-efficiency performance

4. Profit Simulation
- Provides comparative data between Aggressive, Standard, and Conservative scenarios, allowing operators to visualize potential earnings before applying a strategy