Thematic Track Session 2.3 Smart Infrastructure and Predictive Technologies

Thematic Track Session 2.3 Smart Infrastructure and Predictive Technologies

by Paula Valencia, Dr. Diego Luca Detenna, Reena Suri, Dr. Mukontan Tarmakasam

Applied Sciences & Engineering Engineering & Technology TNCivil engineering, surveying and building
🎙 Paula Valencia, Dr. Diego Luca Detenna, Reena Suri, Dr. Mukontan Tarmakasam 👥 930 📅 June 25, 2026 ⏱ 90 min 👁 11 📄 expert opinion 🧭 2026-08-16
Available in: English (current) Français

Keywords

smart infrastructurepredictive analyticspower system planningAI in utilitiesblockchain energy

Summary

The session, part of the Asia Clean Energy Forum, addresses challenges and solutions for building resilient and adaptive energy systems in Asia. Paula Valencia introduces the context of increasing complexity and climate risks. Dr. Diego Luca Detenna presents a novel approach to power system planning using parallel computing and accurate power flow calculations, highlighting limitations of traditional methods and reporting significant errors in net present value when renewables are high. Reena Suri discusses AI applications for reducing aggregate technical and commercial (AT&C) losses in Indian utilities, citing case studies with measurable benefits. Dr. Mukontan Tarmakasam presents a blockchain-integrated AI microgrid platform for community-based energy trading, addressing trust and decentralization issues. The session emphasizes the role of predictive technologies and smart infrastructure in enhancing energy security and operational efficiency.

128 words

Critical Evaluation

Value of the Information & Strength of the Argument

The value of the information is high, as it presents real-world applications and case studies from the energy sector, including specific examples from India and Sri Lanka. The argumentation is generally solid, with speakers providing evidence from pilot projects and industry experience. However, some claims lack detailed data or references, and the presentations are more descriptive than analytical.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor varies among speakers. Dr. Detenna’s presentation is based on proprietary tools and mentions a patented algorithm, but no external sources are provided. Reena Suri references a report by ISGF but does not provide a link. Dr. Tarmakasam’s work is part of an ADB project, but again, no sources are cited. The title accurately reflects the content, and the session is well-structured.

137 words

Title / Content Match

The title accurately reflects the session's focus on smart infrastructure and predictive technologies in the energy sector.

Quality & Reliability

7/10

The session features expert presentations from practitioners in the energy sector, with specific case studies and references to ongoing projects. However, the content is largely anecdotal and lacks detailed methodological transparency, and no external sources are cited in the video description.

Key Moments

Markers derived by PSI from the transcript: the creator did not define chapters.

Contribution & Novelties

The session provides insights into emerging technologies for energy resilience, including advanced power system planning tools, AI for loss reduction, and blockchain for decentralized energy trading. It highlights practical applications and challenges in the Asian context.

Pour aller plus loin :

77 words

Radar Profile

The radar profile shows balanced scores across all dimensions, with slightly higher scores in information quantity and quality, indicating a well-rounded session with substantial content but moderate technical depth.

Reliability 6/10