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- Katsuhisa Yoshimoto
Katsuhisa Yoshimoto
Technology Promotion Unit, Senior Research Scientist, Ph.D. (Engineering)
Born in Tokyo
Department of Electrical Engineering, Graduate School of Engineering, Tokyo Metropolitan University
[Field of reseach] Supply and demand operation, Renewable energy
Project
Sparking technical innovation for making renewables into mainstay power sources He is engaged in research, using non-Intrusive load monitoring system, to ascertain the operating situation of household electrical appliances, and research on supply and demand operation planning for electric power grids. At present, he is working to evaluate impact on the electrical grid due to output fluctuations of wind and solar power generation, mitigate output fluctuations using storage batteries, and forecast output of renewable energy. He is actively working to solve problems associated with broader adoption, so that renewable energy can play the role of a major energy source.
Research
Reports
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Development of a Solar Irradiance Forecasting Method based on Statistical Method for Short-Term Forecast of Photovoltaic Generation — Investigation of Statistical Process and Weather Classification for Input Data —
Research Report : R15020 -
Relevance Evaluation of Solar Irradiance Set Observed at Many Points for Forecast of Photovoltaic Generation – Proposal of Resemblance Evaluation Technique for Solar Irradiance Waveforms based on Self-Organizing Map –
Research Report : R14014 -
Comprehensive Evaluation of Energy Consumption Efficiency with regard to Energy-Saving, Environmental and Economical Aspect based on the Data Enveloped Analysis
Research Report : R09006 -
Non-Intrusive Load Monitoring System- Part 4: Development of New Method for Inferring the behavior of Rice Cooker, Washing Machine and IH-Coking Heater
Research Report : T02044 -
Non-Intrusive Load Monitoring System Part 2 : Inference of Wattage of Electrical Appliances in Household
Research Report : T00010 -
Non-Intrusive Load Monitoring SystemPart 1: Identification of Inverter-Driven Appliances by a Neural Network
Research Report : T98045