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CSU Research, Innovation and Extension, Butuan City (2026)

21/09/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Advancing Statistical Modeling Through Optimal Transport and Functional Time Series Analysis

As data become increasingly complex and dynamic, understanding how patterns and relationships evolve over time is important for improving statistical analysis and prediction. Functional time series provide a framework for analyzing data that are observed continuously or in complex forms, but their nonstationary nature presents challenges in accurately estimating conditional distributions and making reliable forecasts.

The study “𝐎𝐩𝐭𝐢𝐦𝐚𝐥 𝐭𝐫𝐚𝐧𝐬𝐩𝐨𝐫𝐭 𝐜𝐨𝐧𝐯𝐞𝐫𝐠𝐞𝐧𝐜𝐞 𝐨𝐟 𝐜𝐨𝐧𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐝𝐢𝐬𝐭𝐫𝐢𝐛𝐮𝐭𝐢𝐨𝐧 𝐞𝐬𝐭𝐢𝐦𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐬𝐢𝐧𝐠𝐥𝐞-𝐢𝐧𝐝𝐞𝐱𝐞𝐝 𝐥𝐨𝐜𝐚𝐥𝐥𝐲 𝐬𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐫𝐲 𝐟𝐮𝐧𝐜𝐭𝐢𝐨𝐧𝐚𝐥 𝐭𝐢𝐦𝐞 𝐬𝐞𝐫𝐢𝐞𝐬” develops a statistical methodology for estimating conditional distributions in locally stationary functional time series using a functional single-index model and optimal transport techniques.

The researchers introduce a Nadaraya–Watson kernel estimator that simultaneously accounts for temporal variation and a data-driven single index. Using the 1-Wasserstein distance, the framework establishes uniform convergence rates while accounting for weak dependence and the complex structure of functional data. The methodology also provides a practical procedure for estimating the single index and bandwidth through cross-validation.

Extensive simulation results support the theoretical convergence behavior of the proposed approach. Applications to financial and physiological time series further demonstrate its usefulness for distributional forecasting, while an electricity price case study illustrates its potential for predictive analysis in complex nonstationary environments.

Authors:
𝐉𝐚𝐧 𝐍𝐢𝐧𝐨 𝐆. 𝐓𝐢𝐧𝐢𝐨
𝐌𝐨𝐤𝐡𝐭𝐚𝐫 𝐙. 𝐀𝐥𝐚𝐲𝐚
𝐒𝐚𝐥𝐢𝐦 𝐁𝐨𝐮𝐳𝐞𝐛𝐝𝐚

Journal:
𝐑𝐞𝐬𝐮𝐥𝐭𝐬 𝐢𝐧 𝐀𝐩𝐩𝐥𝐢𝐞𝐝 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬
𝐕𝐨𝐥𝐮𝐦𝐞 𝟑𝟎 (𝟐𝟎𝟐𝟔), 𝐀𝐫𝐭𝐢𝐜𝐥𝐞 𝟏𝟎𝟎𝟕𝟎𝟗

Publisher:
𝐄𝐥𝐬𝐞𝐯𝐢𝐞𝐫 𝐁.𝐕.

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬; 𝐖𝐞𝐛 𝐨𝐟 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 (𝐄𝐒𝐂𝐈); 𝐃𝐢𝐫𝐞𝐜𝐭𝐨𝐫𝐲 𝐨𝐟 𝐎𝐩𝐞𝐧 𝐀𝐜𝐜𝐞𝐬𝐬 𝐉𝐨𝐮𝐫𝐧𝐚𝐥𝐬 (𝐃𝐎𝐀𝐉)

Read more: https://doi.org/10.1016/j.rinam.2026.100709

21/09/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Rediscovering Mindanao’s Plant Diversity Through Taxonomic Research and Botanical Reassessment

The Philippines is recognized as one of the world’s biodiversity hotspots, home to numerous endemic plant species that continue to provide opportunities for scientific discovery. However, many plant species remain poorly documented due to limited collections, changing habitats, and challenges in accurately determining their taxonomic identity.

The study “𝐑𝐞𝐝𝐢𝐬𝐜𝐨𝐯𝐞𝐫𝐲 𝐨𝐟 𝐒𝐜𝐡𝐢𝐬𝐦𝐚𝐭𝐨𝐠𝐥𝐨𝐭𝐭𝐢𝐬 𝐦𝐢𝐧𝐝𝐚𝐧𝐚𝐨𝐚𝐧𝐚 (𝐀𝐫𝐚𝐜𝐞𝐚𝐞) 𝐥𝐞𝐚𝐝𝐬 𝐭𝐨 𝐢𝐭𝐬 𝐭𝐫𝐚𝐧𝐬𝐟𝐞𝐫 𝐭𝐨 𝐁𝐨𝐫𝐧𝐞𝐨𝐚, 𝐚 𝐧𝐞𝐰 𝐠𝐞𝐧𝐞𝐫𝐢𝐜 𝐫𝐞𝐜𝐨𝐫𝐝 𝐟𝐨𝐫 𝐭𝐡𝐞 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬” presents a significant contribution to Philippine plant taxonomy by providing new insights into the identity, classification, and distribution of a species originally described from Mindanao more than a century ago.

Through detailed morphological examination and analysis of newly collected specimens, the researchers reassessed the characteristics of Schismatoglottis mindanaoana and identified key features that support its transfer to the genus Borneoa. This discovery represents the first recorded occurrence of the genus Borneoa in the Philippines and provides updated information on the species’ geographical distribution, ecology, and conservation status.

Authors:
𝐌𝐚𝐫𝐤 𝐀𝐫𝐜𝐞𝐛𝐚𝐥 𝐊. 𝐍𝐚𝐢𝐯𝐞
𝐀𝐫𝐜𝐡𝐢𝐞 𝐀. 𝐀𝐥𝐨𝐧𝐠
𝐌𝐞𝐥𝐣𝐚𝐧 𝐓. 𝐃𝐞𝐦𝐞𝐭𝐢𝐥𝐥𝐨
𝐉𝐞𝐬𝐢𝐞𝐥 𝐂𝐫𝐢𝐬 𝐂. 𝐏𝐚𝐲𝐥𝐚𝐧𝐠𝐜𝐨

Journal:
𝐏𝐡𝐲𝐭𝐨𝐭𝐚𝐱𝐚
𝐕𝐨𝐥𝐮𝐦𝐞 𝟕𝟓𝟖, 𝐈𝐬𝐬𝐮𝐞 𝟐 (𝟐𝟎𝟐𝟔), 𝐏𝐚𝐠𝐞𝐬 𝟏𝟖𝟒–𝟏𝟗𝟎

Publisher:
𝐌𝐚𝐠𝐧𝐨𝐥𝐢𝐚 𝐏𝐫𝐞𝐬𝐬, 𝐀𝐮𝐜𝐤𝐥𝐚𝐧𝐝, 𝐍𝐞𝐰 𝐙𝐞𝐚𝐥𝐚𝐧𝐝

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬; 𝐖𝐞𝐛 𝐨𝐟 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐂𝐨𝐫𝐞 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧 (𝐒𝐂𝐈𝐄); 𝐁𝐈𝐎𝐒𝐈𝐒 𝐏𝐫𝐞𝐯𝐢𝐞𝐰𝐬; 𝐁𝐢𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐬; 𝐙𝐨𝐨𝐥𝐨𝐠𝐢𝐜𝐚𝐥 𝐑𝐞𝐜𝐨𝐫𝐝; 𝐂𝐀𝐁 𝐀𝐛𝐬𝐭𝐫𝐚𝐜𝐭𝐬

Read more: https://doi.org/10.11646/phytotaxa.758.2.7

21/09/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Developing Advanced Statistical Models for Understanding Climate Data Dependencies Through Bivariate Copula Analysis

Climate-related datasets often contain complex relationships between variables such as rainfall and temperature. Understanding these dependencies is essential in developing reliable statistical models that can support climate analysis, prediction, and evidence-based decision-making. However, traditional correlation-based methods may not fully capture nonlinear relationships and dependence patterns present in environmental data.

The study “𝐀 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐂𝐚𝐬𝐞 𝐨𝐟 𝐚 𝐁𝐢𝐯𝐚𝐫𝐢𝐚𝐭𝐞 𝐂𝐨𝐩𝐮𝐥𝐚: 𝐏𝐫𝐨𝐩𝐞𝐫𝐭𝐢𝐞𝐬, 𝐃𝐞𝐩𝐞𝐧𝐝𝐞𝐧𝐜𝐞 𝐌𝐞𝐚𝐬𝐮𝐫𝐞𝐬, 𝐚𝐧𝐝 𝐂𝐥𝐢𝐦𝐚𝐭𝐞 𝐃𝐚𝐭𝐚 𝐀𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬” introduces a special case of Kim and Sungur’s copula, referred to as the KSR copula, and investigates its mathematical properties, dependence measures, and application in climate data analysis.

Copulas provide a flexible statistical approach for modeling the dependence structure between random variables by separating individual variable behaviors from their relationship with one another. This enables researchers to analyze complex interactions that may not be adequately represented through conventional statistical techniques.

The study examined important dependence measures of the proposed KSR copula, including Spearman’s rho, Kendall’s tau, Spearman’s footrule, Gini’s gamma, Blomqvist’s beta, and Schweizer–Wolff’s sigma. The researchers further applied the model in analyzing monthly rainfall and temperature data in the Philippines using statistical criteria such as Akaike Information Criterion (AIC) and Bayesian Information Criterion (BIC).

The findings revealed that the KSR copula provided a suitable representation of the dependence structure between climate variables and demonstrated better model fitting performance compared with other existing bivariate copulas considered in the study.

Authors:
𝐑𝐨𝐥𝐥𝐲 𝐍. 𝐀𝐩𝐝𝐨
𝐑𝐨𝐥𝐚𝐧𝐝𝐨 𝐍. 𝐏𝐚𝐥𝐮𝐠𝐚

Journal:
𝐀𝐬𝐢𝐚 𝐏𝐚𝐜𝐢𝐟𝐢𝐜 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 𝐨𝐟 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬
𝐕𝐨𝐥𝐮𝐦𝐞 𝟏𝟑 (𝟐𝟎𝟐𝟔), 𝐀𝐫𝐭𝐢𝐜𝐥𝐞 𝟔𝟒

Publisher:
𝐀𝐬𝐢𝐚 𝐏𝐚𝐜𝐢𝐟𝐢𝐜 𝐉𝐨𝐮𝐫𝐧𝐚𝐥 𝐨𝐟 𝐌𝐚𝐭𝐡𝐞𝐦𝐚𝐭𝐢𝐜𝐬

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.28924/APJM/13-64

10/09/2026

𝗦𝗮𝗺𝗮𝗿 𝗦𝘁𝗮𝘁𝗲 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆 𝗕𝗲𝗻𝗰𝗵𝗺𝗮𝗿𝗸𝘀 𝗖𝗮𝗿𝗮𝗴𝗮 𝗦𝘁𝗮𝘁𝗲 𝗨𝗻𝗶𝘃𝗲𝗿𝘀𝗶𝘁𝘆’𝘀 𝗥𝗗𝗜𝗘 𝗕𝗲𝘀𝘁 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗲𝘀

Caraga State University (CSU) welcomed officials from Samar State University (SSU) on September 7, 2026, for a benchmarking activity focused on learning from CSU’s best practices in research, extension, innovation, technical advisory services, monitoring and evaluation, and impact assessment.

The benchmarking activity served as an opportunity for SSU to seek guidance, knowledge, and insights from CSU’s experiences and established practices in implementing its research, development, innovation, and extension (RDIE) initiatives. Through the activity, the SSU delegation explored CSU’s approaches and strategies that may provide valuable references in strengthening their own RDIE programs and services.

Leading the CSU delegation was Vice President for Research, Development, Innovation and Extension (VPRDIE) Dr. Jeffrey T. Dellosa, together with Extension Services Director Dr. Chime M. Garcia and Technology Transfer and Licensing Office (TTLO) Director Prof. Kenneth L. Ciudad. The CSU team shared the University's approaches and practices in managing RDIE initiatives, particularly in translating research and innovation outputs into meaningful services and institutional impact.

Representing Samar State University were VPRDIE Dr. Felisa E. Gomba, Executive Director for Research Dr. Sherrie Ann C. Labid, and Dr. Rezy V. Mendaño, Director of the Institutional Research and Extension Monitoring and Impact Assessment Unit.

The discussions highlighted CSU’s practices in establishing institutional systems for monitoring RDIE programs, evaluating outcomes, documenting impacts, and ensuring that research and innovation initiatives contribute to community and institutional development. The exchange also underscored the University's approaches to technical advisory services and effective extension mechanisms in translating academic knowledge and research outputs into practical applications.

Through the benchmarking activity, SSU gained valuable insights into CSU’s experiences and practices, particularly in areas that support the effective implementation, monitoring, and assessment of RDIE initiatives. The engagement provided SSU with an opportunity to learn from CSU’s institutional approaches and consider practices that may be adapted to further enhance its own RDIE systems.

The activity reflects CSU’s continuing commitment to sharing its knowledge, experiences, and best practices with fellow state universities, while fostering stronger linkages and collaboration within the higher education sector. It also highlights the value of inter-university benchmarking in promoting continuous improvement, research excellence, innovation, and measurable impact in support of institutional and community development.

07/09/2026

𝗖𝗦𝗨 𝗘𝗺𝗽𝗼𝘄𝗲𝗿𝘀 𝗙𝗮𝗰𝘂𝗹𝘁𝘆 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵𝗲𝗿𝘀 𝗧𝗵𝗿𝗼𝘂𝗴𝗵 𝗔𝗜-𝗕𝗮𝘀𝗲𝗱 𝗣𝘂𝗯𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗪𝗼𝗿𝗸𝘀𝗵𝗼𝗽

Caraga State University (CSU), through OVPRDIE, strengthened its research and publication initiatives through the AI-Based Publications: Crafting High-Impact Research Outputs workshop held on September 2–3, 2026, at Almont Inland Resort, Butuan City.

The two-day workshop gathered faculty researchers from various colleges of the University, including the CSU Cabadbaran Campus, to enhance their research writing and publication competencies and explore the responsible use of Artificial Intelligence (AI) in developing high-quality research outputs.

The activity opened with a message from Vice President for Research, Development, Innovation and Extension Dr. Jeffrey T. Dellosa, who emphasized the importance of strengthening CSU’s research culture and translating research efforts into quality and impactful publications.

Among the key sessions was “Individual Profiling and CSU Capability Mapping,” facilitated by Ms. Crystelle Soriano of the Ateneo Intellectual Property Office, Ateneo de Manila University. She also discussed “Ideas to Ink” and “Venue Picking,” providing participants with practical insights on developing research ideas into publishable manuscripts and identifying appropriate publication venues for their work.

Meanwhile, Dr. Proceso L. Fernandez, Jr. (Doc Jon) discussed the importance of research and publication, along with the use of AI in preparing and improving research papers for publication. His discussion highlighted how AI-assisted tools can support researchers in enhancing the organization, clarity, language, and overall quality of their manuscripts while maintaining academic integrity and responsible use.

On the second day, participants applied the strategies and AI-assisted techniques to their own prepared research manuscripts through hands-on activities and guided enhancement sessions.

The workshop reinforced CSU’s commitment to building a strong, ethical, and impact-driven research and publication culture, equipping faculty researchers with practical skills and emerging technologies to elevate the quality, visibility, and impact of the University's research outputs.

07/09/2026

Caraga State University (CSU), through the Office of the Vice President for Research, Development, Innovation and Extension (OVPRDIE), proudly celebrates its participation as a co-organizer of the 10th International Artificial Intelligence and Data Processing Symposium (IDAP 2026), held on September 5–6, 2026 (Image courtesy of CGPT).

Organized in collaboration with İnönü University, Marmara University, IEEE, and the IEEE Türkiye Section, the international symposium brought together researchers, academicians, professionals, and innovators to exchange knowledge and present emerging research in artificial intelligence, data processing, intelligent systems, and related technologies.

CSU’s involvement in IDAP 2026 reflects the University’s continuing commitment to expanding its international research network, strengthening global academic partnerships, and creating opportunities for its faculty and researchers to participate in internationally recognized scholarly activities. Through engagements such as this, CSU continues to advance its aspiration of becoming a globally recognized research, development, innovation, and extension institution.

The OVPRDIE congratulates all CSU faculty members and researchers who contributed to the success of this international collaboration, particularly those who presented their research, served in various academic roles, and supported the University’s participation in the conference.

Congratulations, Caraga State University, for another meaningful milestone in international research collaboration and academic engagement!

07/09/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Harnessing Phytomining and Bioenergy for Sustainable Rehabilitation of Nickel Mined-Out Areas in Caraga

The Caraga Region is recognized as one of the Philippines’ major mineral resource areas, particularly for nickel production. However, mining activities also bring environmental challenges, including soil degradation, loss of vegetation, and the accumulation of heavy metals in affected landscapes. Addressing these challenges requires innovative approaches that go beyond conventional rehabilitation methods.

The study “𝐓𝐡𝐞 𝐏𝐨𝐭𝐞𝐧𝐭𝐢𝐚𝐥 𝐨𝐟 𝐏𝐡𝐲𝐭𝐨𝐦𝐢𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐁𝐢𝐨𝐞𝐧𝐞𝐫𝐠𝐲 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐑𝐞𝐡𝐚𝐛𝐢𝐥𝐢𝐭𝐚𝐭𝐢𝐨𝐧 𝐨𝐟 𝐍𝐢𝐜𝐤𝐞𝐥 𝐌𝐢𝐧𝐞𝐝-𝐎𝐮𝐭 𝐀𝐫𝐞𝐚𝐬 𝐢𝐧 𝐭𝐡𝐞 𝐂𝐚𝐫𝐚𝐠𝐚 𝐑𝐞𝐠𝐢𝐨𝐧, 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬” explores an emerging strategy that combines phytomining and bioenergy production to restore degraded mining areas while creating opportunities for resource recovery and renewable energy generation.

Phytomining utilizes metal-accumulating plants to extract valuable elements from contaminated soils, while bioenergy integration converts plant biomass into potential renewable energy resources. This integrated approach supports the concept of a circular economy by transforming mining-affected lands into productive and environmentally sustainable systems.

The results of the study demonstrated the potential of selected plant species to support nickel recovery and ecosystem rehabilitation. The researchers identified plants capable of surviving in nickel-rich mined-out areas while accumulating significant amounts of nickel in their biomass. The findings indicate that these plants can contribute to reducing metal concentrations in degraded soils while producing biomass that may be further utilized for bioenergy applications.

The study highlights that integrating phytomining with bioenergy systems can provide multiple benefits, including soil restoration, sustainable biomass production, resource recovery, and reduced environmental impacts associated with mining activities.

Authors:
𝐀𝐛𝐢𝐠𝐚𝐞𝐥 𝐋. 𝐁𝐚𝐥𝐛𝐢𝐧 𝐚𝐧𝐝 𝐈𝐚𝐧 𝐃𝐨𝐦𝐢𝐧𝐢𝐜 𝐓𝐚𝐛𝐚𝐧𝐚𝐠

Journal/Proceedings:
𝐈𝐎𝐏 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐒𝐞𝐫𝐢𝐞𝐬: 𝐄𝐚𝐫𝐭𝐡 𝐚𝐧𝐝 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞

Publisher:
𝐈𝐎𝐏 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.1088/1755-1315/1654/1/012030

07/09/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Enhancing Energy Efficiency in Tropical Buildings Through Performance Evaluation and Retrofit Strategies

Buildings in tropical climates face continuous challenges in maintaining thermal comfort, reducing energy consumption, and achieving compliance with energy efficiency standards. As energy demand continues to increase, evaluating existing facilities and identifying practical retrofit solutions are essential steps toward developing sustainable and climate-responsive infrastructure.

The study“𝐄𝐧𝐞𝐫𝐠𝐲 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐄𝐯𝐚𝐥𝐮𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐑𝐞𝐭𝐫𝐨𝐟𝐢𝐭 𝐒𝐭𝐫𝐚𝐭𝐞𝐠𝐢𝐞𝐬 𝐟𝐨𝐫 𝐏𝐞𝐫𝐟𝐨𝐫𝐦𝐚𝐧𝐜𝐞 𝐓𝐞𝐬𝐭𝐢𝐧𝐠 𝐅𝐚𝐜𝐢𝐥𝐢𝐭𝐢𝐞𝐬 𝐢𝐧 𝐓𝐫𝐨𝐩𝐢𝐜𝐚𝐥 𝐂𝐥𝐢𝐦𝐚𝐭𝐞𝐬: 𝐀 𝐓𝐡𝐞𝐫𝐦𝐚𝐥 𝐚𝐧𝐝 𝐈𝐥𝐥𝐮𝐦𝐢𝐧𝐚𝐭𝐢𝐨𝐧 𝐀𝐬𝐬𝐞𝐬𝐬𝐦𝐞𝐧𝐭 𝐁𝐚𝐬𝐞𝐝 𝐨𝐧 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞 𝐄𝐧𝐞𝐫𝐠𝐲 𝐒𝐭𝐚𝐧𝐝𝐚𝐫𝐝𝐬” evaluates the energy performance of a performance testing facility and explores strategies to improve its thermal comfort, lighting efficiency, and overall energy utilization.

Using ASHRAE Level 1 energy audit methodologies, the researchers conducted a comprehensive assessment involving walkthrough evaluation, temperature and illumination mapping, energy consumption profiling, and building envelope diagnostics. The study assessed the facility’s compliance with Philippine energy efficiency requirements and identified critical areas requiring improvement.

The evaluation revealed significant performance gaps in the facility:
The actual cooling load requirement reached 17,640 Btu/hr, exceeding the installed air-conditioning capacity of 11,000 Btu/hr, indicating insufficient cooling performance.

The calculated Overall Thermal Transfer Value (OTTV) was 59.29 W/m², surpassing the recommended regulatory limit of 45 W/m², showing the need for improved building envelope performance.
The measured average illuminance level was only 165.80 lux, below the recommended 300–400 lux standard for office and testing facility environments.

To address these challenges, the study proposed several retrofit strategies, including the adoption of inverter-type HVAC systems, LED lighting upgrades, envelope insulation improvements, and daylight harvesting approaches. These interventions provide opportunities to reduce operational costs, improve occupant comfort, and enhance compliance with energy efficiency standards.

Authors:
𝐂𝐢𝐧𝐝𝐲 𝐌𝐚𝐲 𝐂. 𝐁𝐞𝐥𝐢𝐯𝐞𝐬𝐭𝐫𝐞 𝐚𝐧𝐝 𝐌𝐢𝐜𝐡𝐚𝐞𝐥 𝐁𝐚𝐮𝐠𝐡𝐧 𝐒. 𝐆𝐫𝐞𝐠𝐨𝐫𝐢𝐨

Journal/Proceedings :
𝟓𝐭𝐡 𝐀𝐒𝐄𝐀𝐍 𝐈𝐧𝐧𝐨𝐯𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐟𝐨𝐫 𝐄𝐧𝐞𝐫𝐠𝐲 𝐚𝐧𝐝 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 (𝐀𝐈𝐂𝐄𝐄) 𝐏𝐫𝐨𝐜𝐞𝐞𝐝𝐢𝐧𝐠𝐬

Publisher:
𝐀𝐒𝐄𝐀𝐍 𝐂𝐞𝐧𝐭𝐫𝐞 𝐟𝐨𝐫 𝐄𝐧𝐞𝐫𝐠𝐲 (𝐀𝐈𝐂𝐄𝐄 𝐏𝐫𝐨𝐜𝐞𝐞𝐝𝐢𝐧𝐠𝐬)

Indexing:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://iopscience.iop.org/article/10.1088/1755-1315/1654/1/012017

07/09/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | 𝐒𝐦𝐚𝐫𝐭 𝐒𝐨𝐥𝐚𝐫 𝐒𝐭𝐫𝐞𝐞𝐭𝐥𝐢𝐠𝐡𝐭𝐢𝐧𝐠 𝐟𝐨𝐫 𝐒𝐚𝐟𝐞𝐫 𝐚𝐧𝐝 𝐌𝐨𝐫𝐞 𝐒𝐮𝐬𝐭𝐚𝐢𝐧𝐚𝐛𝐥𝐞 𝐑𝐮𝐫𝐚𝐥 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐭𝐢𝐞𝐬

Access to reliable streetlighting plays an important role in community safety, mobility, and quality of life. Yet for geographically isolated and rural communities, providing and maintaining conventional streetlighting can be challenging due to infrastructure limitations, energy costs, and accessibility.

The study “𝐀𝐝𝐨𝐩𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐈𝐦𝐩𝐚𝐜𝐭 𝐨𝐟 𝐀𝐈𝐨𝐓-𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐞𝐝 𝐒𝐦𝐚𝐫𝐭 𝐒𝐨𝐥𝐚𝐫 𝐒𝐭𝐫𝐞𝐞𝐭𝐥𝐢𝐠𝐡𝐭𝐢𝐧𝐠 𝐢𝐧 𝐑𝐮𝐫𝐚𝐥 𝐄𝐥𝐞𝐜𝐭𝐫𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: 𝐓𝐡𝐞 𝐂𝐚𝐬𝐞 𝐨𝐟 𝐁𝐚𝐜𝐮𝐚𝐠, 𝐒𝐮𝐫𝐢𝐠𝐚𝐨 𝐝𝐞𝐥 𝐍𝐨𝐫𝐭𝐞, 𝐏𝐡𝐢𝐥𝐢𝐩𝐩𝐢𝐧𝐞𝐬” explores how the integration of Artificial Intelligence of Things (AIoT) and renewable solar energy can provide a smarter and more sustainable approach to rural streetlighting.

The researchers deployed a prototype consisting of 20 smart solar streetlights, each equipped with a 150W solar panel, 60W LED lamp, 50Ah lithium battery, and an AIoT-integrated controller utilizing GSM and LoRa communication technologies. The system was evaluated for more than 90 days, monitoring solar irradiance, battery state of charge, operating hours, and system faults. Community feedback was also gathered to assess the technology's usability and impact.

The results demonstrate promising technical performance and community acceptance. The smart solar streetlighting system operated for an average of 11.8 hours per day, while maintaining a battery state of charge above 60% on 94% of the monitored days.
Its AI-based time-series fault detection system achieved 96.2% accuracy, demonstrating the potential of intelligent monitoring to identify operational issues and support more efficient system maintenance.

The system's adaptive brightness feature also resulted in a 22.5% reduction in energy consumption, showing how smart controls can optimize available solar energy while maintaining necessary illumination.

Beyond technical performance, the study revealed a strong positive response from the community. Community satisfaction reached 87%, with respondents identifying improved nighttime safety and mobility among the most significant benefits of the installation.

The researchers nevertheless identified connectivity limitations during severe weather conditions, emphasizing the need for stronger communication infrastructure, continued system optimization, and community training as the technology is deployed on a larger scale.

Authors:
𝐄𝐝𝐠𝐚𝐫𝐝𝐨 𝐑𝐢𝐜𝐚𝐫𝐝𝐨 𝐁. 𝐒𝐚𝐣𝐨𝐧𝐢𝐚 𝐉𝐫., 𝐀𝐧𝐚𝐦𝐚𝐫𝐢𝐞 𝐏. 𝐒𝐚𝐣𝐨𝐧𝐢𝐚 𝐚𝐧𝐝 𝐀𝐥𝐞𝐱𝐚𝐧𝐝𝐞𝐫 𝐓. 𝐃𝐞𝐦𝐞𝐭𝐢𝐥𝐥𝐨

Journal/Proceedings:
𝐈𝐎𝐏 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐒𝐞𝐫𝐢𝐞𝐬: 𝐄𝐚𝐫𝐭𝐡 𝐚𝐧𝐝 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞

Publisher:
𝐈𝐎𝐏 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠

Indexed:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://iopscience.iop.org/article/10.1088/1755-1315/1654/1/012006

07/09/2026

𝐑𝐄𝐒𝐄𝐀𝐑𝐂𝐇 𝐏𝐔𝐁𝐋𝐈𝐂𝐀𝐓𝐈𝐎𝐍 | Exploring the Potential of Floating Solar PV for Sustainable Energy Generation

As the global transition toward renewable energy accelerates, solar photovoltaic (PV) systems continue to offer promising solutions for clean and sustainable power generation. However, conventional land-based solar installations require considerable space—creating an opportunity to explore alternative environments for harnessing solar energy.

The study “𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 𝐨𝐟 𝐏𝐨𝐰𝐞𝐫 𝐇𝐚𝐫𝐯𝐞𝐬𝐭 𝐢𝐧 𝐒𝐢𝐦𝐮𝐥𝐚𝐭𝐞𝐝 𝐌𝐨𝐝𝐞𝐥 𝐨𝐟 𝐅𝐥𝐨𝐚𝐭𝐢𝐧𝐠 𝐒𝐨𝐥𝐚𝐫 𝐏𝐕 𝐒𝐲𝐬𝐭𝐞𝐦 𝐀𝐠𝐚𝐢𝐧𝐬𝐭 𝐒𝐭𝐚𝐭𝐢𝐨𝐧𝐚𝐫𝐲 𝐈𝐧𝐬𝐭𝐚𝐥𝐥𝐚𝐭𝐢𝐨𝐧” explores the potential of floating solar photovoltaic (FPV) technology by examining how a simulated floating PV system performs compared with a conventional stationary installation.

Floating solar systems offer an innovative approach to renewable energy generation by utilizing available water surfaces rather than competing for valuable land. Yet, unlike stationary solar panels, floating installations are exposed to waves and continuous movement, which can alter panel orientation and affect the amount of solar energy captured.

The researchers compared the energy harvested by stationary and dynamic floating PV configurations across five experimental phases. Results showed that the stationary PV system generated a total of 4.56 kWh, while the dynamic floating system produced 4.28 kWh, resulting in approximately 6.14% higher overall energy harvest for the stationary configuration.

The findings indicate that wave-induced movement and variations in the tilt angle of floating solar panels can influence their power output. While the stationary configuration performed better under the simulated conditions, the study provides important insights into the factors that must be considered when designing and optimizing floating solar PV systems.

Rather than diminishing the potential of floating solar technology, these results highlight opportunities for further improvements in panel stability, positioning, tilt optimization, and floating platform design to enhance energy harvesting under dynamic water conditions.

The research contributes to the growing body of knowledge on floating renewable energy technologies and demonstrates how engineering research can help evaluate emerging solutions before their wider application. As demand for clean energy and efficient use of available space continues to increase, studies such as this provide valuable evidence for developing more resilient and efficient solar energy systems.

Authors:
𝐉𝐚𝐲𝐫𝐚𝐞𝐤 𝐉𝐨𝐡𝐧 𝐃. 𝐆𝐞𝐨𝐧𝐳𝐨𝐧, 𝐕𝐢𝐧𝐜𝐞𝐧𝐭 𝐋𝐞𝐞 𝐂. 𝐌𝐢𝐜𝐨𝐦𝐩𝐚𝐥, 𝐂𝐡𝐚𝐫𝐥𝐞 𝐌𝐚𝐠𝐧𝐞 𝐋. 𝐂𝐢𝐥𝐥𝐨, 𝐋𝐨𝐯𝐞𝐥𝐲 𝐌𝐚𝐞 𝐃𝐚𝐠𝐬𝐚 𝐚𝐧𝐝 𝐑𝐨𝐧𝐢𝐞𝐭𝐨 𝐍. 𝐌𝐞𝐧𝐝𝐨𝐳𝐚

Publication:
𝐈𝐎𝐏 𝐂𝐨𝐧𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐒𝐞𝐫𝐢𝐞𝐬: 𝐄𝐚𝐫𝐭𝐡 𝐚𝐧𝐝 𝐄𝐧𝐯𝐢𝐫𝐨𝐧𝐦𝐞𝐧𝐭𝐚𝐥 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, 𝐕𝐨𝐥𝐮𝐦𝐞 𝟏𝟔𝟓𝟒, 𝟎𝟏𝟐𝟎𝟏𝟑

Publisher:
𝐈𝐎𝐏 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠

Indexing:
𝐒𝐜𝐨𝐩𝐮𝐬

Read more: https://doi.org/10.1088/1755-1315/1654/1/012013

CSU Research, Innovation and Extension

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