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Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/19378

Title: COVID-19による混乱状況下での日次需要予測のためのハイブリッドモデルに関する研究: タイ王国における電力消費量の予測応用
Authors: Lalitpat, Aswanuwath
Authors(alternative): らりぱっと, あさわぬわっと
Keywords: hybrid approach
daily peak load forecasting
disrupted situation
VMD
EDM
FFT
similar day selection method
stepwise regression
artificial neural network
long short-term memory
COVID-19
Issue Date: Sep-2024
Description: Supervisor:HUYNH, Van Nam
先端科学技術研究科
博士
Title(English): A Study on Hybrid Models for Daily Demand Forecasting in Disrupted Situations: Application to Predict Thailand's Electricity Consumption During COVID-19
Authors(English): Lalitpat, Aswanuwath
Language: eng
URI: http://hdl.handle.net/10119/19378
Academic Degrees and number: 甲第1479号
Degree-granting date: 2024-09-24
Degree name: 博士(知識科学)
Degree-granting institutions: 北陸先端科学技術大学院大学
Appears in Collections:D-KS. 2024年度(R06) (Jun.2024 - Mar.2025)

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