口頭答覆 · 2026-03-06 · 屆國會 15

推動AI在能源發電領域的應用

AI 與公共部門 AI 經濟與產業 爭議度 1 · 資訊釋出

議員Valerie Lee質詢政府採取什麼措施推動AI在能源發電領域的應用,以及如何支援企業和家庭利用AI提高能源節約與效率。貿工部政務部長顏曉芳回應:(1)能源市場管理局(EMA)於2025年啟動虛擬電廠(VPP)監管沙盒,利用AI預測可再生能源發電量並基於市場條件最佳化發電容量;(2)EMA內部已採用AI進行太陽能預測;(3)企業發展局支援新加坡商業聯合會的"成本與碳減排計劃",利用AI工具幫助中小企業識別降本和脫碳機會。補充質詢聚焦:能源領域AI專業人才培養計劃,以及其他國家AI在電力排程和可再生能源領域的應用經驗。

關鍵要點

  • EMA啟動虛擬電廠AI監管沙盒
  • AI用於太陽能發電預測
  • AI工具助中小企業降本脫碳
  • 需要培養能源+資料分析複合型人才
政府立場

積極推動能源領域AI應用

政策訊號

能源AI應用從實驗走向監管沙盒

參與人員 (2)

完整譯文(中文)

Hansard 原始記錄 · 2026-05-02

7 Valerie Lee 女士問副總理兼貿易與工業部長:(a) 政府採取了哪些措施以促進人工智慧(AI)在能源發電領域的更廣泛應用;(b) 政府如何支援企業和家庭利用 AI 解決方案提升節能和效率。

貿易與工業國務部長(顏曉芳女士)(代表副總理兼貿易與工業部長)答:議長先生,人工智慧(AI)可以成為電力行業的重要推動力。2025 年,能源市場管理局(EMA)推出了虛擬電廠(VPP)監管沙盒,虛擬電廠本質上是控制、最佳化和聚合分散式能源資源(如太陽能電池板和電池儲能系統)的數字平臺。虛擬電廠試點專案可能利用 AI 預測可再生能源發電量,並根據現行批發市場條件最佳化發電容量。EMA 還在其內部能源管理系統中引入了 AI,以支援太陽能發電預測。

政府致力於幫助企業和家庭提升節能和效率,包括通過 AI 支援的解決方案。例如,新加坡企業發展局支援新加坡工商聯合會的成本與碳減排計劃。該計劃利用專有的 AI 工具,幫助中小企業識別成本降低和脫碳機會,包括通過節能和提高效率的措施。

我們歡迎公眾和業界提出建議,探討政府如何更好地支援電力行業以及新加坡企業和家庭採用 AI 解決方案。

議長:Lee 女士。

Valerie Lee 女士(巴西立-樟宜選區):謝謝議長,也感謝國務部長。我有兩個追加問題。成功部署 AI 於發電領域需要具備能源和資料分析雙重專業知識的工程師。國務部長能否詳細說明是否有計劃培養能源行業勞動力在 AI 方面的專業技能?

第二個追加問題是,我們是否研究過其他司法管轄區在電力行業中使用 AI 的案例,例如用於電力排程、發電效率和可再生能源排程?

顏曉芳女士:政府致力於培養能源行業的人才儲備,並幫助員工在這一激動人心的領域規劃職業發展。例如,我們有由新加坡技能未來局、勞動力新加坡和能源市場管理局與業界及工會合作開發的能源與電力技能框架,明確了關鍵崗位和所需能力,包括數字和資料技能。對於專業技能,政府將與業界夥伴和教育機構緊密合作,更新課程,培養滿足行業需求的人才。

請問 Valerie Lee 女士能否重複她的第二個問題?

議長:Lee 女士。

Valerie Lee 女士:好的,我們是否研究過其他國家在電力行業中使用 AI 的案例,例如用於電力排程或發電效率?具體是在哪些國家進行的研究?

顏曉芳女士:感謝這位議員的提問。確實,我們有很多可以向其他國家學習的地方。我們認識到 AI 是電力行業的重要推動力,其他國家在 AI 應用方面可能比我們更為先進。我們正在研究其他國家在能源發電和電網網路中部署的各種 AI 解決方案。一些例子包括利用 AI 進行能源資產的預測性維護,以及應用機器學習提升傳統能源和可再生能源的運營效率。

英文原文

SPRS Hansard · Fetched: 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.