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In 2025, the birth of DeepSeek was like a heavy blow, instantly causing a huge wave of global technology and business. This disruptive artificial intelligence result once again ignites people’s attention to AI’s unlimited potential and its transformational power. In fact, in the power buying and selling field, artificial intelligence (AI) has long been quietly deployed and penetrated into various application scenarios at an amazing rate. From power load forecasting, market price analysis to buying and selling strategy, AI is reshaping every cycle of power buying and selling with great data analysis and intelligent decision-making. Under this unblocked technology tide, a trend is already clear: the AI-driven power buying and selling paradigm is slowly replacing the traditional manual buying and selling form, focusing on market operation logic, and deeply affecting the industry’s eco-economics. This change not only brought unprecedented opportunities, but also accompanied by repetitive challenges. So, how can AI reshape the power market? Can the market participate in the main body grasp the fleeting opportunities, and how should we deal with potential risks? What’s more important is, with the evolution of the buying and selling paradigm, how will the power market supervision be adjusted and changed? This article focuses on these three focus issues and explores readers.
(Source: WeChat public account “Internet New Media” Author: Wang Yuyan and Guo Bowei)
AI’s development trends and application scenarios for power purchase and sale
AI’s penetration in the power purchase and sale field can be divided into four stages: assisted analysis stage, strategic planning stage, resource integration stage and intelligent (Agents) competition stage. At the divergence stage, AI application scenarios have their own characteristics, and with the profound application of technology, its depth of market awareness, replacement level of buyers, reshaping methods of market structure, and impact on market prices will continue to expand.
The first stage is the assisted analysis stage. AI uses its powerful data analysis and acquisition capabilities to apply high-frequency data, market disclosure data, and historical monitoring data on the power generation and power usage sides to perform tasks such as power generation power forecast, weather forecast, power demand forecast and market price analysis. The AI department replaced traditional power market analysts, greatly reducing the effectiveness of market analysis, and reducing the dependence of the purchase and sale entities on manual prediction. With the continuous optimization of AI algorithms, its ability to independently complete the prediction of trends has been enhanced, allowing buyers to invest more spirit in futures distribution strategies and wholesale contract design.and more strategic areas. Although AI at this stage has not had a significant impact on the market structure, the performance of market prices will decline due to divergence in market expectations of both supply and demand. With the slightest opening of the power market in various provinces and the popularization of Sugar babyAge of AI comprehensively guides prediction tasks is coming.
The second stage is the strategic planning stage. Based on AI’s completion of assisted analysis, it further participates in the purchase and sale decisions to provide optimization strategies that meet suitable divergence preferences and purchase targets (such as the annual night-out or the minimum cost). By connecting with the market purchase and sales system, AI can realize automatic market application, and replace the responsibilities of market analysts and department buyers at a certain level. As more and more market players rely on AI to conduct precise market forecasting and best-selling strategy planning, market price fluctuations will have a certain level of deviation from the actual supply and demand relationship, and even under the promotion of widespread risk on the storm and arbitrage behavior, they produce similar characteristics of “chasing the rise and fall” in the stock market. At present, domestic enterprises have already provided rich power market strategy planning services in this area. However, due to the differences in power marketization levels in various provinces in my country and the AI algorithms are changing new data iteratively, today, there are still only one market participants who can take the lead in the country, and the market competition format is still changing rapidly.
The third stage is the resource integration stage. After the technological accumulation of the first two stages, some companies have grasped AI prediction and strategic ordering algorithms with focus competition, so that they can mature in the optimization application of a single e-commerce or e-commerce vendor. At the same time, with the participation of new market entities such as new energy storage, virtual power plants, and electric vehicle V2G (Vehicle-to-Grid) aggregators, the power market is evolving towards a doubling of ecological systems. At this time, AI is not only a decision-making thing, but also an intelligence that can integrate resources and optimize systems. In terms of market price structure, AI can comprehensively analyze the mutual influence of multiple subjects and multiple reasons, so that prices not only reflect traditional supply and demand relationships, but also integrate new power characteristics, energy-saving costs and other reasons. The flexibility and precision of market prices are finally enhanced, and the resource setting and installation effectiveness of the power market is enhanced.
Today, the most cutting-edge application of AI in the power market is importantFocus on this stage. For example, Octopus Energy, a British comprehensive power service provider, released a Power Loop project in 2018. Users can participate in V2G aggregation through mobile_phoneApp. AI optimizes charging and discharging strategies based on user usage habits and Internet debt. Volytica Diagnostics in Germany cooperates with European battery optimization and dynamic buying and selling service provider Enspired to combine AI predictive battery analysis with real-time battery energy storage system (BESS). GreenVoltis, an European virtual power manufacturer, optimizes the market arbitrage strategy of virtual power plants by aggregating new power generation, distributed energy storage and adjustable loads (such as heat pumps). Under the comparison, the relevant AI applications in China are still in the demonstration stage, and there is still a certain gap between the level of commercialization and foreign comparison.
The fourth stage is the intelligent competition stage. Almost all market buyers have evolved into a comprehensive power service provider that relies on AI intelligence to make power applications. Competitive competition between enterprises is no longer important. The current traditional resource advantages or market share are determined by the algorithm optimization ability, data processing ability, and the degree of integration of adjustable resources of their AI intelligence. The AI intelligence of divergent dynamic service providers will adjust their own market share through independent learning and practical interaction, and actively adjust their strategies based on market dynamics and actively promote market share benefits. The competition and cooperation between AI will promote continuous innovation in the operational and business forms of the power market. AI’s replacement for buyers is almost in full, and the buyers’ quality is more about managing and supervising AI intelligence to ensure that they are suitable for the company’s strategic goals. Under the deep influence of AI intelligence, market prices have become more sensitive and precise. Prices are not only a reaction between supply and demand, but also the result of the best settings for the market’s main game and resources. In the highly intelligent market of AI drive, even small market changes can be quickly captured by AI intelligence and transmitted to the price system through strategic adjustments. This will promote the development of the power market to the goal of intelligence, efficiency and flexibility, bringing unprecedented changes.
The power market opportunities and challenges under the AI tide
At present, my country’s AI development process is progressing slowly, and it is slowly moving from the stage of assisted analysis and strategic planning to the resource integration stage. However, there are significant differences in the development level of different provinces and enterprises, which depends on the depth and scope of the power market transformation at a very large level. In comparison, in the cityIn countries with higher levels of marketization, the proportion of enterprises to resource integration is larger, and a number of mature technology service providers have emerged. As for the fourth stage of AI’s expansion into the power market, namely the intelligent competition stage, it is still important to stay in the theoretical research level today, but in the foreseeable future, this vision is expected to gradually become reality. Faced with this in-depth change, the market entities will usher in unprecedented development opportunities.
First, AI intelligent technology has been broken. The focus of power buying and selling is on AI technology itself. With the in-depth integration of AI and power markets, market entities can add investment in algorithm research and development, data processing TC: