Ittetsu Taniguchi

Associate Professor

Osaka University

Japan

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About

Ittetsu Taniguchi is an Associate Professor at Osaka University in Japan. His research areas include optimization of VRF systems, grid stability in photovoltaic systems, and applications of deep learning in thermal load monitoring. Additionally, he focuses on image and video processing techniques, adaptive sampling in compressive sensing, and energy management frameworks for smart buildings.

Articles (13)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2023

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2023

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2022

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2022

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2021

Collaborators (6)

Kostas Siozios

Associate Professor

Aristotle University of Thessaloniki

GREECE

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Dimitrios Soudris

Professor

National Technical University of Athens

GREECE

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Dafang Zhao

Osaka University

JAPAN

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Patrizio Manganiello

Delft University of Technology

NETHERLANDS

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Elham Shirazi

Assistant Professor

University of Twente

NETHERLANDS

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Charalampos Marantos

National Technical University of Athens

GREECE

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Ittetsu Taniguchi

Research Interests

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About

Articles (13)

Power-constrained VRF system optimization using symbolic regression for multiple zones environment

Enhancing grid stability in PV systems: A novel ramp rate control method utilizing PV cooling technology

Lightweight and Accurate YOLOv7-Based Ensembles With Knowledge Distillation for Urinary Sediment Detection

Evaluation of Deep Learning-Based Non-Intrusive Thermal Load Monitoring

Non-intrusive thermal load disaggregation and forecasting for effective HVAC systems

Image/Video Coding and Processing Techniques for Intelligent Sensor Nodes

Computer-Vision-Oriented Adaptive Sampling in Compressive Sensing

aVCSR: Adaptive Video Compressive Sensing Using Region-of-Interest Detection in the Compressed Domain

Online Energy Management Framework for Smart Buildings with Low-Complexity Estimators

Duck Curve Aware Dynamic Pricing and Battery Scheduling Strategy Using Reinforcement Learning

Load and Wind Aware Routing of Delivery Drones

Novel object motion estimation method for industrial vision systems in aligning machines

Multi-time scale energy management framework for smart PV systems mixing fast and slow dynamics

Collaborators (6)

Kostas Siozios

Dimitrios Soudris

Dafang Zhao

Patrizio Manganiello

Elham Shirazi

Charalampos Marantos

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