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Energy Systems Engineering Lab
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A lab that builds flexible power systems capable of accepting large amounts of renewable energy.
AboutAbout the lab
Toward environmentally harmonious, high-efficiency energy systems
The Kato Lab studies flexible power and energy systems that can accommodate large amounts of renewable energy.
Achieving carbon neutrality by 2050 requires a range of efforts, including integrating large amounts of generation from sources such as solar and wind power.
The lab works on forecasting power generation using weather forecasts and satellite images, methods for planning and operating power systems, and control of equipment in homes and businesses.
Key terms
- Carbon neutrality
- Balancing the amount of greenhouse gases such as carbon dioxide that are emitted against the amount that is absorbed or removed, so that the net total is zero
- Numerical weather prediction
- A method of forecasting future weather by expressing atmospheric motion in equations and calculating them on a computer. It forms the basis of weather forecasts
- Demand response
- An approach in which electricity users adjust demand by changing how much power they use and when, according to the supply-demand situation of the power system
ResearchResearch themes
With the large-scale introduction of renewable energy and the liberalization of the electricity and gas industries, the power and energy sector is entering a period of major change. Aiming for power and energy systems that can adapt flexibly to this change, the lab studies methods for forecasting power generation and for planning and controlling systems.
*Illustrative imageOutput forecasting for solar and wind power
The lab develops technologies that analyze numerical weather prediction data, satellite images, and sky images to forecast the output of solar and wind power from several days ahead to a few hours ahead.
*Illustrative imagePower system planning and control
So that electricity can be delivered stably even as variable-output sources such as solar power increase, the lab uses mathematical optimization and simulation to study methods for power grid control and supply-demand planning, as well as the design of electricity markets.
*Illustrative imageElectricity demand forecasting and demand-side control
Using electricity demand data from many households, the lab develops methods for forecasting electricity demand and demand response methods that shift demand effectively.
MembersFaculty
The Kato Lab consists of faculty members, secretaries, visiting professors, and doctoral, master's, and undergraduate students.As of 2026
- ProfessorTakeyoshi Kato
VoicesStudent voices
Compiled from answers by students who were in the lab. Ratings and reviews reflect individual students' experiences, not the lab's official views.
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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: “Wind turbine and solar farm - geograph.org.uk - 4378069” Martin Pearman / CC BY-SA 2.0 (cropped)
- Output forecasting for solar and wind power: “Adlershof photovoltaic power station (5)” Chmee2 / CC BY-SA 3.0 (cropped)
- Power system planning and control: “Sakuma-Higasi Trunk Line and Sakuma-Nishi Trunk Line” ButuCC / CC BY-SA 4.0 (cropped)
- Electricity demand forecasting and demand-side control: “Rooftop Solar panels on homes in Mehsana, Gujarat, India” Nizil Shah / CC BY-SA 4.0 (cropped)
- Related lab (パワーエレクトロニクス
（S） 研究グループ): “Electric insulators on top of a transformer (2)” High Contrast / CC BY 3.0 de (cropped) - Related lab (機能性・
エネルギー材料工学研究グループ): “Levitating HTS BSCCO piece (Meissner effect)” Winiar / CC BY-SA 3.0 (cropped) - Related lab (宇宙情報処理研究グループ): “Anatomy of Earth's magnetosphere ESA518009” European Space Agency / CC BY-SA 3.0 igo (cropped)
- Related lab (プラズマエネルギー工学研究グループ): “TFTR 1989” Princeton Plasma Physics Laboratory / CC BY 3.0 (cropped)
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