Oral Answer · 2026-03-06 · 第 15 届国会
推动AI在能源发电领域的应用
Facilitating Adoption of AI in Energy Generation Sector
议员Valerie Lee质询政府采取什么措施推动AI在能源发电领域的应用,以及如何支持企业和家庭利用AI提高能源节约与效率。贸工部政务部长颜晓芳回应:(1)能源市场管理局(EMA)于2025年启动虚拟电厂(VPP)监管沙盒,利用AI预测可再生能源发电量并基于市场条件优化发电容量;(2)EMA内部已采用AI进行太阳能预测;(3)企业发展局支持新加坡商业联合会的"成本与碳减排计划",利用AI工具帮助中小企业识别降本和脱碳机会。补充质询聚焦:能源领域AI专业人才培养计划,以及其他国家AI在电力调度和可再生能源领域的应用经验。
关键要点
- • EMA启动虚拟电厂AI监管沙盒
- • AI用于太阳能发电预测
- • AI工具助中小企业降本脱碳
- • 需要培养能源+数据分析复合型人才
积极推动能源领域AI应用
能源AI应用从实验走向监管沙盒
参与人员(2)
完整译文(中文)
Hansard 英文原文译文 · 翻译日期:2026-05-02
7 Valerie Lee 女士问副总理兼贸易与工业部长:(a) 政府采取了哪些措施以促进人工智能(AI)在能源发电领域的更广泛应用;(b) 政府如何支持企业和家庭利用 AI 解决方案提升节能和效率。
贸易与工业国务部长(颜晓芳女士)(代表副总理兼贸易与工业部长)答:议长先生,人工智能(AI)可以成为电力行业的重要推动力。2025 年,能源市场管理局(EMA)推出了虚拟电厂(VPP)监管沙盒,虚拟电厂本质上是控制、优化和聚合分布式能源资源(如太阳能电池板和电池储能系统)的数字平台。虚拟电厂试点项目可能利用 AI 预测可再生能源发电量,并根据现行批发市场条件优化发电容量。EMA 还在其内部能源管理系统中引入了 AI,以支持太阳能发电预测。
政府致力于帮助企业和家庭提升节能和效率,包括通过 AI 支持的解决方案。例如,新加坡企业发展局支持新加坡工商联合会的成本与碳减排计划。该计划利用专有的 AI 工具,帮助中小企业识别成本降低和脱碳机会,包括通过节能和提高效率的措施。
我们欢迎公众和业界提出建议,探讨政府如何更好地支持电力行业以及新加坡企业和家庭采用 AI 解决方案。
议长:Lee 女士。
Valerie Lee 女士(巴西立-樟宜选区):谢谢议长,也感谢国务部长。我有两个追加问题。成功部署 AI 于发电领域需要具备能源和数据分析双重专业知识的工程师。国务部长能否详细说明是否有计划培养能源行业劳动力在 AI 方面的专业技能?
第二个追加问题是,我们是否研究过其他司法管辖区在电力行业中使用 AI 的案例,例如用于电力调度、发电效率和可再生能源调度?
颜晓芳女士:政府致力于培养能源行业的人才储备,并帮助员工在这一激动人心的领域规划职业发展。例如,我们有由新加坡技能未来局、劳动力新加坡和能源市场管理局与业界及工会合作开发的能源与电力技能框架,明确了关键岗位和所需能力,包括数字和数据技能。对于专业技能,政府将与业界伙伴和教育机构紧密合作,更新课程,培养满足行业需求的人才。
请问 Valerie Lee 女士能否重复她的第二个问题?
议长:Lee 女士。
Valerie Lee 女士:好的,我们是否研究过其他国家在电力行业中使用 AI 的案例,例如用于电力调度或发电效率?具体是在哪些国家进行的研究?
颜晓芳女士:感谢这位议员的提问。确实,我们有很多可以向其他国家学习的地方。我们认识到 AI 是电力行业的重要推动力,其他国家在 AI 应用方面可能比我们更为先进。我们正在研究其他国家在能源发电和电网网络中部署的各种 AI 解决方案。一些例子包括利用 AI 进行能源资产的预测性维护,以及应用机器学习提升传统能源和可再生能源的运营效率。
英文原文
SPRS Hansard 原始记录 · 抓取日期:2026-05-02
7 Ms Valerie Lee asked the Deputy Prime Minister and Minister for Trade and Industry (a) what measures the Government is taking to facilitate greater adoption of artificial intelligence (AI) within the energy generation sector; and (b) how it is supporting businesses and households in leveraging AI solutions to improve energy conservation and efficiency.
The Minister of State for Trade and Industry (Ms Gan Siow Huang) (for the Deputy Prime Minister and Minister for Trade and Industry) : Mr Speaker, artificial intelligence (AI) can be a strong enabler in the power sector. In 2025, the Energy Market Authority (EMA) launched a regulatory sandbox for Virtual Power Plants (VPPs), which are essentially, digital platforms that control, optimise and aggregate distributed energy resources, such as solar panels and battery energy storage systems. VPP pilots may utilise AI to forecast renewable generation output and optimise generation capacity based on prevailing wholesale market conditions. EMA has also incorporated AI within its internal energy management systems to support solar forecasting.
The Government is committed to helping businesses and households improve energy conservation and efficiency, including through AI-enabled solutions. For example, Enterprise Singapore supports the Singapore Business Federation's Cost and Carbon Reduction Programme. The programme utilises a proprietary AI tool to help small and medium-sized enterprises (SMEs) identify cost reduction and decarbonisation opportunities, including through energy conservation and efficiency measures.
We welcome proposals from the public and industry on how the Government can better support the adoption of AI solutions in the power sector and for businesses and households in Singapore.
Mr Speaker : Ms Lee.
Ms Valerie Lee (Pasir Ris-Changi) : Thank you, Speaker, and I thank the Minister of State. I have two supplementary questions. For successful deployment of AI in power generation, it will require engineers with both energy and data analytics expertise. Could the Minister of State elaborate on whether there are plans to develop specialised skills in AI for the energy sector workforce?
The second supplementary question is, have we studied use cases across other jurisdictions on AI use within the power sector, for example, for power dispatch, power generation efficiency and for renewables dispatch?
Ms Gan Siow Huang : The Government is committed to growing our own pipeline of talent in the energy sector and helping workers navigate their careers in this exciting space. For example, we have the Skills Framework for Energy and Power developed by SkillsFuture Singapore, Workforce Singapore and EMA with industry and union partners, mapping out the key roles and required competencies, including digital and data skills. For niche skills, the Government will work closely with industry partners and educational institutions to update the curriculum and grow talent to meet the sector's needs.
Can I ask the Member Ms Valerie Lee to repeat her second question?
Mr Speaker : Ms Lee.
Ms Valerie Lee : Yes, so have we studied used cases across other countries on AI use within a power sector, for example, for power dispatch, or for power generation efficiency? And in what countries did we do so?
Ms Gan Siow Huang : I thank the Member for her question. Indeed, we have a lot to learn from other countries. We recognise that AI is a strong enabler in the power sector and that other countries could be more advanced than us in the adoption of AI. We are studying various AI solutions, which other countries have deployed for both energy generation and the grid network. Some examples include the use of AI for predictive maintenance of energy assets and the application of machine learning to enhance the operational efficiency of both traditional and renewable energy sources.