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Electric Power Network Systems (Noda) Lab
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The lab advances power systems, using AI and DX as well.

AboutAbout the lab
Building the way electricity is delivered through electrical engineering.
The Electric Power Network Systems Lab studies how to advance power systems, which deliver electrical energy, by drawing on knowledge of electrical engineering.
The lab regards work in the field of electrical energy as falling into two areas: changing the form of power systems, and proposing applications of new information technologies to power systems.
It also considers it important to use artificial intelligence (AI) and DX (digital transformation) technologies to deliver electricity at low cost.
Key terms
- Microgrid
- A power grid that operates the generating side and the consuming side together over a relatively small area
- GFM inverter
- A type of inverter, a device that converts DC to AC, that itself creates the voltage and frequency of the power grid
- DX
- Short for digital transformation. Changing how work is done and how systems operate through digital technology
NewsLab news
A paper by Prof. Noda and colleagues was published in IEEE Electrification Magazine
A paper by Prof. Noda and colleagues was published in Electrical Engineering in Japan
ResearchResearch themes
Electrical energy is a vital foundation that supports society, and building power systems is one way to apply knowledge of electrical engineering to real life. The lab gives examples of research from two perspectives: ideas for changing the form of power systems, and ideas for applying information technology to power systems.
*Illustrative imageMicrogrids for Small Loads
As an example, the lab cites developing microgrids for relatively small loads that are currently served by long distribution lines.
*Illustrative imageDeveloping GFM Inverters
As an example, the lab cites developing GFM (grid-forming) inverters in order to accept large amounts of renewable energy.
*Illustrative imageAutomatic Generation of Analysis Cases with AI
As an example, the lab cites using data models and AI technology to generate simulation cases automatically.
*Illustrative imageSimulation Methods Based on New Ideas
As an example, the lab cites developing new methods for simulating systems based on new ways of thinking.
MembersFaculty
The lab consists of faculty members only.As of 2026
- ProfessorTaku Noda
VoicesStudent voices
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Report an errorAbout the images
The top and research theme images are illustrative and were not taken at the lab. They are cropped from Wikimedia Commons images. Cropped CC BY-SA images are provided under the same CC BY-SA license as the original (version shown on each line).
- Top image: “High voltage power grid of the United States” Wikideas1 / CC0 (cropped)
- Microgrids for Small Loads: “Power Distribution Line Pole with Distribution Transformers” Rsparks3 / CC0 (cropped)
- Developing GFM Inverters: “NNHS solar array inverters.agr” ArnoldReinhold / CC BY-SA 4.0 (cropped)
- Automatic Generation of Analysis Cases with AI: “230kV substation busbars” Rsparks3 / CC0 (cropped)
- Simulation Methods Based on New Ideas: “Control room pt tupper” Achim Hering / Public domain (cropped)
- Related lab (Applied Electric Energy Systems Lab): “Wind Turbines and Power Lines, East Sussex, England - April 2009” Diliff / CC BY-SA 3.0 (cropped)
- Related lab (Micro Energy Devices [Endo (Y.)-Muroga] Lab): “Nuclear magnetic resonance in the CAFIA laboratory” Sarka Na kopci / CC BY-SA 4.0 (cropped)
- Related lab (Nano-Bio Integrated Molecular Device [Hirano] Lab): “Wafer - 1” Windell Oskay / CC BY 2.0 (cropped)
- Related lab (Green Power Electronics [Endoh (T.)] Lab): “Wafer scale integrated circuit on 300 mm wafer” Wikideas1 / CC0 (cropped)
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