Saqib Saeed
Chief Product Officer PTR Inc.
Saqib is a highly accomplished market research professional and a data storyteller in the international energy industry. With over a decade of experience in the field, he currently serves as the Chief Product Officer at PTR Inc. His expertise lies in the power grid and e-mobility equipment sectors.
Throughout his career, Saqib has overseen numerous global market research studies and provided valuable insights to key decision-makers at various Fortune 500 companies. He is a member of the editorial board for Transformers Magazine and a member of the Advisory board of CWIEME Berlin. In addition to his market research career, Saqib has also worked in the manufacturing sector.
Saqib holds a Master's degree in Electrical Power Engineering from the Technical University of Munich.
2025 Agenda Sessions
AI’s Role in Transforming the Power Grid: Enhancing Efficiency, Reliability, and Sustainability
Discover how AI is revolutionising the power grid by boosting operational efficiency, enhancing reliability, and driving sustainable energy solutions. This transformation paves the way for a smarter, greener energy future.
- Uses of AI to analyse consumption patterns and automate demand response programs, empowering consumers to participate in energy savings.
- Employing AI to detect anomalies, prevent cyber threats, and secure critical grid infrastructure.
- How AI enhances real-time load forecasting, voltage regulation, and fault detection to reduce energy losses and operational costs.
- AI uses in easing out approval process of projects and enhanced decision making.
- Leveraging machine learning for equipment condition monitoring and failure prediction to improve grid reliability and reduce downtime
Tuesday 03 June 12:25 - 12:50 Central Stage
Industry 4.0 and Digitalisation
Discover how AI is revolutionising the power grid by boosting operational efficiency, enhancing reliability, and driving sustainable energy solutions. This transformation paves the way for a smarter, greener energy future.
- Uses of AI to analyse consumption patterns and automate demand response programs, empowering consumers to participate in energy savings.
- Employing AI to detect anomalies, prevent cyber threats, and secure critical grid infrastructure.
- How AI enhances real-time load forecasting, voltage regulation, and fault detection to reduce energy losses and operational costs.
- AI uses in easing out approval process of projects and enhanced decision making.
- Leveraging machine learning for equipment condition monitoring and failure prediction to improve grid reliability and reduce downtime
