New Path for Energy Storage Operations: Guoneng Rixin’s Intelligent Technology Empowers Energy Value Enhancement

In the era of post-energy operations, the industry is entering a critical phase of digital and intelligent operational transformation. The high-quality development of the industry is closely linked to the efficiency of new energy and the upgrade of digital and intelligent operations. As a pioneer in the field of energy digitization, Guoneng Rixin has introduced the concept of “Operation Equals Value,” focusing on enhancing the efficiency and economic viability of wind, solar, and energy storage systems. The company has officially launched the AI Digital Cloud Collaborative Matrix, which leverages AI technology to break through through four major “Technology + Operation” models, transitioning the energy storage industry from “passive response” to “proactive decision-making.” This approach aims to integrate the entire value chain of “source, network, load, and storage,” achieving efficient conversion of clean energy and reconstructing its commercial value. It establishes a collaborative ecosystem for source, network, load, and storage, creating a new paradigm for value generation in wind and solar energy storage.

<h2>Beginning of the Energy Operation Era: Innovation Drives Dual Upgrades in Efficiency and Economy</h2>
The <b>AI Digital Cloud Collaborative Matrix</b> utilizes data technology to drive smart control and market-oriented operations for wind, solar, and energy storage systems, deeply applied in diverse clean energy scenarios. It establishes deep interactions and efficient collaboration between energy storage, sources, grids, and loads, thereby fully unleashing the value of energy storage as a flexible adjustment resource, ensuring stable supply, efficient absorption, and economic viability of clean energy.

<h2>Breakthroughs in Digital Technology: Strong Technical Support from AI Engine</h2>
Robust technical support is essential for energy operations. Guoneng Rixin's self-developed <b>"Kuangming"</b> AI model provides a solid foundation for value-driven operations in wind, solar, and energy storage collaboration. The <b>"Kuangming"</b> model utilizes cutting-edge technologies such as dynamic graph neural networks, atmospheric stratification structures, and temporal attention mechanisms to extend effective weather forecasting from 7 days to 45 days, enhancing the reliability and accuracy of wind/solar power forecasts, extreme weather predictions, and electricity spot market forecasts.
With the support of the <b>"Kuangming"</b> model, Guoneng Rixin's <b>AI Digital Cloud Collaborative Matrix</b> achieves four core breakthroughs:
<ul>
    <li><b>Cross-domain Data Integration</b>: Integrates multi-dimensional information including new energy power forecasts, electricity price forecasts, and load forecasts.</li>
    <li><b>Energy Technology Integration</b>: Connects energy storage with primary frequency regulation, active support, and coordinated control technologies.</li>
    <li><b>Smart Decision-making Hub</b>: Uses reinforcement learning algorithms to dynamically optimize charge and discharge strategies.</li>
    <li><b>Commercial Value Closed Loop</b>: Supports business model strategies such as electricity markets, ancillary service markets, and virtual power plant aggregation.</li>
</ul>
As a result, Guoneng Rixin is equipped with strong technological support to ensure efficient dynamic adjustments of charge and discharge strategies for energy storage. On the <b>"source"</b> side, it smooths fluctuations in wind and solar generation, enhancing the absorption of new energy. On the <b>"grid"</b> side, it assists in peak shaving and frequency regulation, alleviating the pressure on transmission channels. On the <b>"load"</b> side, it responds to demand-side load changes, achieving applications such as peak shaving and valley filling, and demand control.

<h2>Operational Model Breakthrough: Deep Empowerment of Clean Energy Generation Across All Scenarios</h2>
Building on its strong technological breakthroughs, Guoneng Rixin's <b>AI Digital Cloud Collaborative Matrix</b> breaks away from the traditional model that relies solely on energy storage capacity compensation and low charging-high discharging. By participating in electricity markets, ancillary services, and demand response across various trading scenarios, it constructs an "intelligent charging and diversified revenue" network for wind and solar storage value applications, using market mechanisms to enhance energy efficiency and economic viability.

<h3>Energy Storage Participation in Electricity Trading</h3>
Guoneng Rixin employs reinforcement learning algorithms to simulate scenarios where new energy participates in market competition. Leveraging power forecasting technology and experience from over 4,000 new energy stations nationwide, the company can accurately predict dynamic electricity market trends, including forecasts of 45 weather conditions, daily/real-time electricity prices, and load forecasts. By employing algorithmic reasoning, it provides optimal trading strategies aimed at maximizing revenue for diverse markets, facilitating the participation of new energy and energy storage in electricity trading. This approach ensures reliable electricity supply and prices, effectively enhancing the operational management level of market entities and improving the economic benefits of wind and solar storage.

<h3>Energy Storage Participation in Virtual Power Plants</h3>
As a virtual power plant aggregator, Guoneng Rixin independently builds a smart management platform for virtual power plants, aggregating resources such as energy storage, distributed photovoltaics, and controllable loads into a flexible load pool of over 5 GW. It participates in real-time balancing markets across various regions, including Beijing-Tianjin-Hebei, the Pearl River Delta, the Yangtze River Delta, and five provinces in Northwest China. Using AI algorithms, the company analyzes massive data on equipment status, load characteristics, and market prices, dynamically adjusting the frequency of energy storage charging and discharging as well as load response strategies. This not only enhances the revenue from energy storage projects participating in virtual power plants but also achieves interaction within the power system.

<h3>Wind and Solar Energy Storage Microgrids</h3>
Microgrids, as a new solution for "energy autonomy," are gradually expanding their application markets both domestically and internationally. Guoneng Rixin utilizes its powerful computing capabilities and intelligent algorithms to precisely match new energy generation with electricity loads. Rapid and reliable energy regulation ensures the stable and safe supply of energy in various off-grid and weak-grid environments. The multi-energy complementary regulation technology optimizes energy utilization efficiency while opening up various value channels including electricity spot trading, green electricity trading, and carbon markets. This leads to a commercial operation combination of "peak-valley arbitrage + demand control + ancillary services + electricity spot + carbon reduction solutions," enhancing the overall economic viability of various microgrid projects under wind, solar, storage, charging, and diverse loads.

<h2>Typical Case: Establishing a Global Model for Intelligent Operations</h2>
Domestically, Guoneng Rixin has built a shared energy storage cloud management platform for a large enterprise, connecting various entities including industrial parks, new energy firms, integrated energy companies, electric vehicle service providers, and charging operators. The energy storage cloud platform serves as the energy dispatching hub, integrating functions for managing new energy absorption, demand management, load regulation, energy storage operations, and mutual assistance among stations. Supported by strategic algorithms, it achieves "multi-energy coupling and multi-party collaboration," effectively increasing the utilization rate of new energy and maximizing the revenue from energy storage collaborative applications. Additionally, the comprehensive energy storage cloud platform allows seamless integration with electricity trading decision-making platforms and virtual power plant aggregation operation platforms, ensuring that every kilowatt-hour achieves optimal efficiency and maximum revenue during production, storage, trading, and consumption.
Internationally, in Nigeria, the company has implemented microgrid applications involving solar, storage, and diesel scenarios, addressing local issues of unstable, reliable, and sufficient electricity supply. By establishing a smart energy management platform for microgrids, it integrates and controls various energy sources including loads, grid electricity, solar power, diesel generation, and energy storage. Under the operation of AI algorithm scheduling strategies, it provides robust power support for regional users. Notably, the smart energy management platform for microgrids adopts a "smooth switching technology" between grid-connected and off-grid operations, enhancing supply reliability and flexibility in energy utilization.

<h2>Leading Energy Operations Toward a Zero-Carbon Future</h2>
As the energy sector transitions into the operational era, the value of digital technologies and intelligent operations in enhancing energy efficiency and economic viability is becoming increasingly evident. Guoneng Rixin is creating a value operation system that fosters collaborative interaction among sources, networks, loads, and storage through technological innovations and operational optimizations across the entire lifecycle and energy chain. With the acceleration of global low-carbon energy transformation, emerging markets are appearing in regions such as Southeast Asia, Africa, and Europe. Driven by policies and market demands, Guoneng Rixin's new model of energy digitization operations with its <b>AI Digital Cloud Collaborative Matrix</b> is gradually expanding its global market presence, empowering the digital and low-carbon transformation of global energy. In the future, Guoneng Rixin will continue to delve into energy data technology, achieving a triple leap of "technological leadership, commercial sustainability, and environmental friendliness," using operations as a lever to unlock infinite possibilities for global net-zero carbon goals.