SolaX Wins EUPD Research TOP INNOVATION Award for AI Solutions in Europe 2026

SolaX Power is proud to announce that it has been recognized with the EUPD Research TOP INNOVATION Award in the AI Solutions category for Europe. The award will be presented at Intersolar Europe, recognizing SolaX's continued innovation in artificial intelligence, solar energy storage and intelligent energy management.

At the heart of this recognition is X Matrix, a next-generation AI energy intelligence framework. Built around five AI Engines and an intelligent AI Agent — XAgent — X Matrix enables solar-plus-storage systems to evolve from "operating devices" into cognitive energy systems that can predict, optimize, interact, evolve, and operate with trust.

The X Matrix: SolaX's AI Framework for Energy Intelligence

X Matrix consists of five core AI Engines that form its professional AI capability layer, supporting intelligent prediction, optimization, operation, maintenance, and user interaction. 

As the AI Agent within X Matrix, XAgent connects these expert capabilities through a conversational interface, helping users manage complex energy scenarios more simply and intelligently.

1. XBMS — AI Battery Management

XBMS focuses on battery safety and lifecycle intelligence. With cell-level SOC and SOH prediction, it helps identify potential battery risks earlier, including internal short-circuit warnings up to 7 days in advance.

This allows battery management to move from passive alarm response to proactive risk prediction, making energy storage systems safer and more reliable.

2. XSchedule — AI Energy Dispatch

XSchedule provides intelligent energy scheduling through cloud-edge collaboration. By forecasting PV generation, load demand and electricity prices, it can automatically adjust dispatch strategies, capture dynamic price arbitrage opportunities, and maximize green energy consumption.

This helps residential, commercial and industrial users make electricity use more economical while improving the value of solar and storage assets.

3. XCopilot — AI Intelligent Assistant

XCopilot combines large language models and RAG-based knowledge retrieval to provide 24/7 intelligent service and energy expertise. As part of the X Matrix, it helps users and installers access knowledge, receive guidance and interact with the system more easily through natural language.

4. XCare — AI Intelligent O&M

XCare improves operation and maintenance efficiency through AFCI protection, IV curve diagnosis and intelligent fault analysis. It helps identify system abnormalities faster, reduce manual inspection workload and support efficient O&M across the full lifecycle of a solar-plus-storage power station.

5. XCore — AI Knowledge Base

XCore is the knowledge foundation of the X Matrix. It aggregates global device data, operating experience, user behavior, system parameters and energy knowledge into an evolving energy knowledge graph. By continuously learning from real-world data, XCore enables the entire X Matrix to better understand devices, scenarios and users over time.

Through these five engines, the X Matrix creates a professional AI foundation that supports the full power station lifecycle — from site setup and data monitoring to dispatch strategy, fault diagnosis, battery safety and energy revenue optimization. It enables solar-plus-storage systems to become more predictable, more optimizable, more interactive, more evolving and more trustworthy.

XAgent: From Tools to Assistant

XAgent is designed as a higher-level virtual assistant that can understand user intent, break down complex requests, select the right expert capabilities and coordinate execution across multiple modules.

It can call the core capabilities of the X Matrix, including scheduling, O&M, battery management and intelligent assistance. It can also call common system tools such as data queries, parameter configuration and device settings.

For example, when a user says, "Production load is urgent — optimize the energy storage strategy to secure production," XAgent can understand the intent, decompose the task, call the XSchedule, and generate an optimized charge-discharge plan. After user confirmation, the strategy can be executed and remembered for future optimization.

This is the key difference between a tool and an Agent. The XAgent becomes the virtual assistant that understands users and knows how to use those capabilities to complete the task.

At the system level, XAgent enables energy intelligence to move from single-point functions to multi-module collaboration. It can coordinate scheduling, O&M diagnostics, battery management, system data and configuration tools to complete complex energy management tasks.

Over time, it also supports the transition from generic automation to personalized intelligence. By learning user habits, device profiles and strategy preferences, XAgent can better understand each user, each system and each energy scenario.