구두 답변 · 2026-03-06 · 국회 15
에너지 발전 분야에서의 AI 응용 추진
의원 Valerie Lee는 정부가 AI를 에너지 발전 분야에 어떻게 활용할 것인지, 그리고 기업과 가정이 에너지 절감 및 효율성 향상을 위해 AI를 활용하도록 어떻게 지원하는지 질의했습니다. 무역공업부 정무부장관 Yenn Siao Fang은 다음과 같이 응답했습니다. (1) 에너지 시장 관리국(EMA)은 2025년에 가상 발전소(VPP) 규제 샌드박스를 시작하여 AI로 재생 에너지 발전량을 예측하고 시장 조건에 따라 발전 용량을 최적화합니다; (2) EMA 내부는 이미 태양광 예측을 위해 AI를 채택했습니다; (3) 기업발전국은 싱가포르 상업 연합회의 「비용 및 탄소 감축 계획」을 지원하여 AI 도구가 중소기업이 비용 절감 및 탄소 감축 기회를 파악하도록 돕습니다. 추가 질의는 에너지 분야 AI 전문가 양성 계획 및 기타 국가의 전력 조정 및 재생 에너지 분야에서의 AI 응용 경험에 초점을 맞추고 있습니다.
핵심 요점
- • EMA launches Virtual Power Plant AI regulatory sandbox
- • AI used for solar generation forecasting
- • AI tools help SMEs cut cost and decarbonise
- • Need to develop energy + data analytics hybrid talent
에너지 분야의 AI 응용을 적극적으로 추진
에너지 AI 응용이 실험 단계에서 규제 샌드박스로 전환
참여자 (2)
영어 원문
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.