Energy technology entrepreneur and researcher
Building practical decision systems for electricity markets and the energy transition.
I work across energy entrepreneurship, market practice, and applied research, turning forecasting, optimization, and AI into products, tools, and decision workflows for real business settings.
Current Focus
What I am building now
The emphasis is on market-facing systems that move from insight to execution.
Market Intelligence
Translating fragmented power-market signals into analysis layers that support faster and better decisions.
Decision Support
Turning forecasting, optimization, and reinforcement learning into workflows for storage, flexibility, and trading teams.
Energy Digitalization
Connecting applied models, product thinking, and operational reality in public-facing energy technology work.
Selected Work
Founder, builder, researcher
A few public threads that define the current direction.
Reneng Technology
Public-facing work around AI-enabled market intelligence, digital tools, and decision support for the energy sector in China.
Product and Strategy
Translating market analysis, modeling, and founder judgment into tools, workflows, and usable energy-market products.
European Power Market Practice
Experience at Northpool shaped a practical view of short-term markets, price formation, and execution reality.
Research Foundations
The analytical base behind the work
Research still anchors how I think about products, systems, and energy markets.
Electricity Markets
Market design, price formation, cross-border mechanisms, and short-term market behavior.
Energy AI
Forecasting, probabilistic modeling, optimization, and safe decision systems for complex energy settings.
Storage and Flexibility
Battery dispatch, flexibility strategy, and market participation logic under operational constraints.
Research Translation
Turning strong methods into products, workflows, and decision systems that create usable value.
Selected Publications
Representative academic work
Academic publications remain a strong analytical signal, while serving a broader founder and operator story.
- RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks Energy and AI, 2025.
- Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks arXiv, 2024.
- Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm International Journal of Electrical Power & Energy Systems, 2023.
Selected Essays
Thoughts on AI, power markets, entrepreneurship, and life
A bilingual longform writing space for ideas, judgment, and reflection.
2026-03-20
Ten Years of Study and Research
Notes on imitation learning, scientific curiosity, mentorship, and growth, adapted from a previous interview.
Reflections from a decade of study, from undergraduate education to doctoral research, on decision-making, curiosity, scientific practice, and mentorship.
Read Essay2026-03-17
Do Not Wait
Language, agency, failure, and reclaiming a self-directed life in the age of AI.
An essay on language, agency, failure, and reclaiming a self-directed life in the age of AI.
Read EssayRecent News
Public milestones
A short timeline of public developments across entrepreneurship, research, and market work.
- 2026 Continuing public-facing energy technology work centered on AI-enabled decision systems and market digitalization.
- 2025 Completed an angel financing round in December 2025, was selected for the Rubicon Fund, and won the Netherlands division of the Shenzhen Innovation and Entrepreneurship Competition.
- 2024 Moved from doctoral research into company building and European power-market practice.
Contact
Open to collaboration, speaking, and founder-level conversations in energy.
If your work touches electricity markets, storage strategy, energy AI, or research-to-product translation, I am happy to connect.
当前重点
我现在真正投入的方向
重点不是抽象概念，而是从洞察走向执行的市场化系统。
市场情报
把分散的电力市场信号转化为可服务于更快、更好决策的分析层与判断框架。
决策支持
把预测、优化和强化学习落成服务储能、灵活性资源与交易团队的工作流。
能源数字化
把模型、产品思维与实际运营连接起来，推进公开面向市场的能源科技实践。
代表性工作
创业者、建设者、研究者三条线并行
下面这些公开线索，基本定义了我当下的工作面貌。
任能科技
围绕中国能源行业的 AI 市场情报、数字化工具和决策支持，推进公开面向市场的能源科技工作。
产品与战略
把市场分析、模型方法与创业判断转化为工具、工作流与可使用的能源市场产品。
欧洲电力市场实践
Northpool 的经历使我对短期市场、价格形成与执行现实有了更直接的理解。
研究基础
支撑这些工作的分析底座
研究训练仍然决定着我理解产品、系统与能源市场的方式。
电力市场
关注市场设计、价格形成、跨区机制以及短期市场行为。
能源 AI
关注预测、概率建模、优化以及复杂能源场景中的安全决策系统。
储能与灵活性
聚焦储能调度、灵活性策略与受运行约束影响的市场参与逻辑。
研究转化
把扎实的方法做成真正能产生价值的产品、工作流与决策系统。
代表论文
代表性的学术工作
学术发表仍然是重要的分析能力信号，但它服务于更广义的创业与实践叙事。
- RL-ADN: A high-performance Deep Reinforcement Learning environment for optimal Energy Storage Systems dispatch in active distribution networks Energy and AI，2025。
- Safe Imitation Learning-based Optimal Energy Storage Systems Dispatch in Distribution Networks arXiv，2024。
- Optimal energy system scheduling using a constraint-aware reinforcement learning algorithm International Journal of Electrical Power & Energy Systems，2023。
随笔
关于 AI、电力市场、创业与人生的长期表达
中英双语长文表达，用来承载判断、思考与个人立场。
2026-03-20
十年研学路：关于模仿学习、科研与成长的几点感悟
整理自“研途风采”访谈，关于模仿学习、科研、导师与成长的几点感悟。
从本科到博士十年求学路上的一些感悟，关于决策、好奇心、科研训练与导师的重要性。
阅读随笔2026-03-17
不要等
关于表达、失败、自我探索与 AI 时代能动性的一篇随笔。
关于表达、AI、失败与自我追问的一篇中文随笔，也关于一个人如何在技术加速时代夺回自己的人生。
阅读随笔最新动态
公开里程碑
这里简要记录创业、研究与市场实践中的公开进展。
- 2026 持续推进以 AI 决策系统和市场数字化为重点的公开面向市场能源科技工作。
- 2025 2025 年 12 月完成天使轮融资，并入选荷兰高层次青年人才计划 Rubicon 基金，获得深圳创新创业大赛荷兰赛区冠军。
- 2024 从博士研究进一步走向创业实践与欧洲电力市场工作。
联系
欢迎围绕合作、演讲与 founder 级能源议题交流。
如果你的工作涉及电力市场、储能策略、能源 AI 或研究转产品，我很愿意交流。