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

Digital Energy Network – AI and Artificial Intelligence – Weiheng Intelligent officially released the world’s first full-stack AI energy storage solution based on the MCP protocol.

Recently, Weiheng Intelligent announced the launch of the world’s first full-stack AI energy storage solution based on the MCP (Model Communication Protocol). This marks a significant milestone in the company’s innovative approach to intelligent energy system architecture.

The ongoing energy transition is accelerating, with energy storage becoming a crucial 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 proactively adjust their operational strategies, reducing electricity costs and ensuring grid stability. Additionally, business models such as Virtual Power Plants (VPP) require the aggregation of distributed energy storage and generation resources for unified scheduling, making real-time decision-making and adaptive optimization increasingly critical.

A new generation of communication protocols is creating conditions for empowering energy storage with AI. One such protocol that has garnered widespread attention in the industry is MCP. It provides a unified interface that allows terminal AI models to securely and efficiently connect with various local or cloud-based tools and data sources, offering unprecedented scalability in energy management. Future Energy Management Systems (EMS) will likely integrate deeply with AI, enabling connectivity with broader digital ecosystems and ushering in a new era of intelligent energy management.

PANGU EMS System Features

As the core product of Weiheng Intelligent, PANGU EMS embodies the company’s cutting-edge technology in energy storage intelligent control. PANGU EMS achieves continuous monitoring 24/7, enabling real-time data collection and analysis of power station operating statuses. It combines intelligent scheduling algorithms to optimize the collaborative operation of various energy systems (such as solar + energy storage + charging stations + grid). The system automatically adjusts battery charge and discharge strategies based on electricity load and price signals, helping users flatten demand peaks and increase self-consumption rates. The main highlights can be summarized as “full-cycle, multi-scenario, intelligent, and cloud-expandable”:

• Full Lifecycle Management: Covers the entire process management of energy storage systems from design and deployment to real-time operation and maintenance. With a visual interface and mobile app, operation and maintenance personnel can monitor the health of the power station, receive alarm notifications, and perform remote configurations anytime, anywhere.
• Multi-Scenario Adaptability: PANGU EMS is highly flexible, applicable in various scenarios, including residential, commercial microgrids, and large-scale grid-side energy storage. Its modular architecture supports on-demand system expansion and is compatible with different types of batteries and inverters, facilitating plug-and-play functionality.
• AI-Driven Optimization: The built-in AI algorithm model supports load forecasting, solar power generation prediction, and electricity price forecasting, providing data support for scheduling decisions. Leveraging pattern recognition and machine learning, the system can perform 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 critical commands promptly, while the cloud conducts deep mining of vast historical data to iteratively optimize scheduling strategies and can interface with third-party energy management platforms to provide value-added services.

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 critical. The Model Communication Protocol (MCP) provides an unprecedented solution to this challenge. In simple terms, MCP serves as a “universal interface” in the AI world, offering a standardized connection for AI applications to various data sources and tools. Through MCP, AI assistants can securely call external services without being constrained by traditional rigid API integration methods.

MCP follows a client-server architecture consisting of three main components: Host, Client, and Server. The Host represents the entity running the AI application (such as the EMS), the Client communicates with the MCP Server, and the various MCP Servers encapsulate specific functions or access particular data. The capability exchange mechanism of MCP is highly flexible, allowing Servers to update their offerings without requiring changes on the Client side, significantly reducing the cost of integrating new tools.

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

Leading the Way with MCP: PANGU EMS Builds Open AI Integration Capability

Weiheng Intelligent has proactively recognized the potential of the MCP protocol, being among the first in the industry to fully integrate it into the PANGU EMS system. This integration provides PANGU EMS with an open AI interface, enabling seamless connections with various AI tools and platforms that adhere to MCP standards, transforming previously “isolated” energy storage systems into infinitely expandable intelligent hubs.

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

• Cursor: An innovative AI-assisted programming tool that offers automated code generation and script optimization to help PANGU EMS rapidly iterate and upgrade algorithms.
• Deepseek: A leading domestic large model platform suitable for natural language processing and analysis, aiding in decision-making by interpreting electricity market policy texts.
• Dify: An open-source AIGC application development framework for creating customized AI applications, such as intelligent energy consumption analysis report generators.
• RAGFlow: Provides enterprise-level knowledge retrieval and Q&A services, enabling PANGU EMS to access vast energy big data for intelligent retrieval and inquiry of historical operational data.
• LangChain: One of the most popular large model development frameworks that allows flexible orchestration of multiple models for multi-step intelligent analysis in scheduling decisions.
• Google AI: A global leader in AI, aiding PANGU EMS in optimizing schedules for solar-storage systems and conducting fault monitoring using its machine learning and prediction APIs.

By supporting these mainstream AI tools, PANGU EMS has created an open and integrated intelligent ecosystem. The system can flexibly utilize various AI capabilities as needed: from programming AI to optimize algorithms to predictive AI guiding energy storage scheduling, and retrieval AI for knowledge base queries. Thanks to the standardization of MCP, customers can fully enjoy the benefits of the latest AI technologies without worrying about the complexity of integration.

Application Case: AI Smart Scheduling Enhanced by MCP

An exemplary case of intelligent scheduling in industrial park solar-storage microgrids illustrates this: Previously, scheduling engineers had to manually create battery charge and discharge plans. Now, PANGU EMS, utilizing MCP, connects to professional weather forecasting and load prediction models, automatically obtaining refined meteorological data and electricity load forecasts daily, optimizing battery charge and discharge strategies based on electricity price information.

When risks such as abnormal battery temperatures arise, the system can provide real-time possible fault causes and handling suggestions by interfacing with fault diagnosis AI, significantly improving operational efficiency and safety. Multiple energy storage stations installed with PANGU EMS can form a virtual power plant cluster. When the grid urgently needs load balancing, AI commands the energy storage cluster to respond in milliseconds, ensuring grid stability while generating substantial revenue.

This “AI + Energy Storage” model imbues energy flow with intelligence, enabling proactive sensing, forecasting, and scheduling. Whether addressing the peak-shaving needs of commercial and industrial users or ensuring safe operation and frequency modulation for the grid, PANGU EMS effectively meets these requirements, delivering tangible benefits to customers.

Technological Innovation and Industry Leadership

Continuous technological innovation is key to Weiheng Intelligent’s position at the forefront of the industry. The company has made significant strides in artificial intelligence, the Internet of Things, and cloud platforms, establishing a robust cloud management platform and collaborating with institutions such as Fudan University and the State Grid Shanghai Electric Power Company Research Institute to set up the Shanghai R&D Center and Energy AI Laboratory. This allows for the rapid incorporation of advanced machine learning algorithms into products.

As one of the few companies mastering core technologies in energy storage hardware and software, Weiheng Intelligent bears the mission of leading industry development. From being the first to launch an EMS system supporting the MCP protocol to building an intelligent energy cloud platform integrated with AI, the company remains at the forefront of innovation. Through relentless research and practical application, Weiheng Intelligent showcases the immense potential of intelligent energy storage and actively participates in setting technical standards, driving upgrades across the energy storage industry.

Looking ahead, Weiheng Intelligent will continue to deepen its investment in AI, big data analysis, and cloud-edge collaboration. One of the company’s visions is to enable energy storage systems to possess a powerful application ecosystem and intelligent “brain” akin to smartphones, leading the energy sector into a new era of digitalization and intelligence.

In the context of “carbon neutrality” and the construction of new power systems, the prospects for Weiheng Intelligent are vast. The company has already built a solid reputation through outstanding products and early advantages. With the release of large-scale production capacity and the advancement of global strategies, its growth potential will further emerge. In the future, Weiheng Intelligent will continue to lead the intelligent energy storage industry and become a leading enterprise in the AI + energy era, creating dual value for investors and society—achieving commercial returns while promoting green transformation in the energy sector.

Conclusion

The energy storage industry is at a critical juncture, transitioning from quantity to quality. With the pioneering practices of the PANGU EMS system, Weiheng Intelligent is at the forefront of the industry. Currently, the MCP protocol bridges the gap between energy storage and next-generation AI technologies, bringing AI-driven energy storage solutions from concept to reality. In this significant process, Weiheng Intelligent is committed to creating a series of products driven by AI agent matrices and large models, covering battery health status assessment, life prediction, and the optimal matching of energy storage technologies with variable scenarios, thereby advancing the ambitious goal of carbon neutrality.

In the future, Weiheng Intelligent will collaborate with global customers, partners, and investors to leverage the momentum of AI’s development to accelerate a comprehensive and in-depth transformation of the energy storage industry. On this grand journey of technological empowerment, the company remains steadfast, leveraging its extraordinary innovative strength and unwavering determination to create a cleaner, more efficient, and better energy future for the world.