Weiheng Smart Launches the World’s First Full-Stack AI Energy Storage Solution Based on MCP Protocol

AI and Artificial Intelligence – Weiheng Smart officially launches the world’s first full-stack AI energy storage solution based on the MCP protocol.

Industry Background: The Integration Trend of Intelligent Energy Storage and AI

Recently, Weiheng Smart announced the release of the world’s first full-stack AI energy storage solution based on the MCP protocol, marking a significant milestone in the innovation of intelligent energy system architecture.

As the energy transition accelerates, energy storage has become a key technology for balancing electricity supply and demand while enhancing flexibility. Traditional energy storage management is evolving towards intelligence, utilizing artificial intelligence (AI) for more precise control and optimization. For instance, by predicting load and renewable energy output, energy storage systems can adjust their operation strategies in advance, reducing electricity costs and ensuring grid stability. Moreover, business models like virtual power plants (VPP) require the aggregation of decentralized storage and power resources for unified dispatch, making real-time decision-making and adaptive optimization functions crucial.

A new generation of communication protocols is creating conditions for AI-enabled energy storage. In recent years, the Model Communication Protocol (MCP) has gained widespread attention in the industry. It provides a unified interface that allows terminal AI models to securely and efficiently connect various local or cloud-based tools and data sources, offering unprecedented scalability for energy management. Future energy management systems (EMS) will undoubtedly deeply integrate AI and interconnect with a broader digital ecosystem, ushering in a new era of intelligent energy management.

PANGU EMS System Features

As the core product of Weiheng Smart, the PANGU EMS (Pangu Energy Management System) encapsulates the company’s cutting-edge technology in intelligent energy storage control. PANGU EMS provides 24/7 uninterrupted monitoring, enabling real-time collection and analysis of power station operational status. Coupled with intelligent scheduling algorithms, it optimizes the collaborative operation of multiple energy systems (such as photovoltaic + storage + charging piles + grid). Additionally, the system automatically adjusts battery charge and discharge strategies based on load and electricity price signals, assisting users in peak shaving and increasing self-consumption rates. The main highlights include:

• Full Lifecycle Management: Comprehensive management covering the entire process of energy storage systems from design deployment to real-time operation and maintenance.
• Multi-Scenario Adaptability: PANGU EMS is highly flexible, suitable for residential, commercial, industrial microgrids, and large grid-side energy storage applications. Its modular architecture supports on-demand capacity expansion and is compatible with various types of batteries and inverters, allowing for plug-and-play functionality.
• AI-Driven Optimization: Built-in AI algorithm models support load forecasting, photovoltaic generation forecasting, and electricity price forecasting, providing data support for scheduling decisions. Utilizing pattern recognition and machine learning, the system can conduct anomaly detection and fault warnings, enhancing operational safety and reliability.
• Cloud-Edge Collaboration: Leveraging Weiheng’s self-developed cloud platform, PANGU EMS combines local rapid response with cloud-based intelligent analysis. The edge executes crucial commands promptly, while the cloud performs deep mining of vast historical data to iteratively optimize scheduling strategies and can interface with third-party energy management platforms to provide added value.

MCP Protocol: The “Universal Interface” of the AI Era

As AI plays an increasingly important role in energy storage scheduling, efficiently connecting EMS systems with various AI tools and data sources has become essential. The Model Communication Protocol (MCP) offers an unprecedented solution to this challenge. In simple terms, MCP serves as a “universal interface” in the AI realm, providing a unified standard for connecting AI applications to different data sources and tools. Through MCP, AI assistants can securely call external services without being restricted by traditional rigid API integration methods.

MCP follows a client-server architecture, comprising three main components: Host, Client, and Server. The Host represents the application running the AI (e.g., the EMS), the Client communicates with the MCP Server, and each MCP Server encapsulates specific functions or accesses particular data. The capability exchange mechanism of MCP is highly flexible, allowing Servers to update their available functions without requiring modifications to the Client’s code, significantly reducing the costs of integrating new tools.

For the energy storage industry, MCP enables EMS systems to easily access the latest AI models and services, facilitating a wide range of extended functionalities—from optimizing scheduling strategies to fault diagnosis, user interaction, and global collaboration—without waiting for vendors to develop specific interfaces. Therefore, MCP is regarded as a groundbreaking innovation in AI-enabled energy applications.

PANGU EMS: Leading the Way in MCP Support

Weiheng Smart has proactively recognized the potential of the MCP protocol, being the first in the industry to fully integrate it into the PANGU EMS system. Consequently, PANGU EMS now features an open AI interface that can seamlessly connect with various AI tools and platforms adhering to the MCP standard, transforming previously “isolated” energy storage systems into infinitely expandable intelligent hubs.

Currently, PANGU EMS can connect with several mainstream AI tools through MCP:

• Cursor: An innovative AI-assisted programming tool that provides automated code generation and script optimization, facilitating rapid algorithm iteration for PANGU EMS.
• Deepseek: A leading domestic large model platform suitable for natural language processing and analysis, assisting in decision-making through the parsing of electricity market policy texts.
• Dify: An open-source AIGC application development framework that can create customized AI applications for users, such as intelligent energy consumption analysis report generators.
• RAGFlow: Offers enterprise-level knowledge retrieval and Q&A services, allowing PANGU EMS to access vast energy big data for intelligent historical data retrieval and inquiries.
• LangChain: One of the most popular frameworks for large model development, enabling the flexible orchestration of multiple models for multi-step intelligent analysis in scheduling decisions.
• Google AI: A global leader in the field of AI, allowing PANGU EMS to optimize scheduling for energy storage systems or conduct fault monitoring through its machine learning and prediction APIs.

By being compatible with these various mainstream AI tools, PANGU EMS establishes an open and integrated intelligent ecosystem. The system can flexibly leverage different AI capabilities as needed: it can enable programming AI to optimize algorithms, utilize prediction AI to guide energy storage scheduling, and employ retrieval AI for knowledge base inquiries. Thanks to the standardization of MCP, customers need not worry about the complexities of integration and can fully enjoy the benefits of the latest AI technologies.

Application Case: AI Intelligent Scheduling Enhanced by MCP

An exemplary case is the intelligent scheduling of a photovoltaic energy storage microgrid in an industrial park: previously, scheduling engineers had to manually create battery charge and discharge plans. Now, PANGU EMS leverages MCP to access specialized weather forecasting and load prediction models, automatically obtaining detailed weather data and electricity load forecasting curves daily, and optimizing battery charge and discharge strategies based on electricity price information.

When battery temperature anomalies or other risks arise, the system can provide real-time possible fault causes and handling suggestions by interfacing with fault diagnosis AI, significantly enhancing operational efficiency and safety. Multiple energy storage stations equipped with PANGU EMS can form a virtual power plant cluster. When the grid urgently needs peak shaving, the AI directs the energy storage cluster to respond in milliseconds, ensuring grid balance while generating significant revenue.

This “AI + Energy Storage” model infuses intelligence into energy flow, allowing for proactive sensing, prediction, and scheduling. Whether it’s for commercial users seeking peak shaving or grid requirements for safe operation and frequency regulation, PANGU EMS effectively meets these needs, delivering tangible benefits to customers.

Technological Innovation and Industry Leadership

Continuous technological innovation is key to Weiheng Smart’s positioning at the forefront of the industry. The company has established deep footholds in artificial intelligence, the Internet of Things, and cloud platforms, building a robust cloud management platform and collaborating with institutions like Fudan University and the State Grid Shanghai Electric Power Research Institute to establish a research and development center and energy AI laboratory in Shanghai. This allows for the rapid integration of cutting-edge machine learning algorithms into their products.

As one of the few companies mastering core software and hardware technologies in energy storage, Weiheng Smart is committed to leading industry development. From being the first to launch an energy storage EMS system supporting the MCP protocol to establishing a smart energy cloud platform integrating AI, the company remains at the forefront of every innovation. By continuously engaging in research and practical applications, Weiheng Smart showcases the enormous potential of intelligent energy storage while actively participating in the development of technical standards to promote the overall upgrade of the energy storage industry.

Looking ahead, Weiheng Smart will continue to deepen its technological investments in AI, big data analysis, and cloud-edge collaboration. One of the company’s visions is to enable energy storage systems to possess powerful application ecosystems and intelligent capabilities, akin to smartphones, guiding the energy industry into a new era of digitization and intelligence.

In the context of “carbon neutrality” and the construction of a new power system, the prospects for the sector in which Weiheng Smart operates are broad. The company has already built a strong reputation based on its excellent products and first-mover advantage, and as large-scale capacities are released and global layouts advance, its growth potential will further become evident. In the future, Weiheng Smart will continue to lead the intelligent energy storage industry, becoming a key player in the AI + energy era, creating dual value for investors and society—yielding commercial returns while driving a green transformation in the energy sector.

Conclusion

The energy storage industry is at a critical juncture, transitioning from quantitative to qualitative change. Through the innovative practices of the PANGU EMS system, Weiheng Smart is positioned at the industry’s forefront. Currently, the MCP protocol has bridged the gap between energy storage and next-generation AI technologies, bringing AI-driven energy storage technology and services from concept to reality. In this great process, Weiheng Smart, through a series of innovative products and successful cases, aims to build a product system driven by AI intelligent matrices and large models, covering aspects such as battery health assessment and lifespan prediction, achieving optimal matching of energy storage technologies with dynamic scenarios, thereby advancing the grand goal of carbon neutrality.

In the future, Weiheng Smart will join hands with global customers, partners, and investors, leveraging the powerful momentum of the AI boom to accelerate comprehensive and profound transformation and upgrading of the energy storage industry. On this magnificent journey of technological empowerment, the company remains steadfast, relying on extraordinary innovation capabilities and firm determination, fully committed to creating a cleaner, more efficient, and better energy future for the world.