Machine Learning-Based Prediction of Excess Power in Photovoltaic Mini Grids

カテゴリ: 全国大会

論文No: 4-153

グループ名: 【全国大会】令和7年電気学会全国大会論文集

発行日: 2025/03/01

タイトル(英語): Machine Learning-Based Prediction of Excess Power in Photovoltaic Mini Grids

著者名: BezhaMinella（Doshisha University）,IoannouIacovos I.（University of Cyprus）,NagaokaNaoto（Doshisha University）,JavaidSaher（Japan Advanced Institute of Science and Technology）,VassilouVasos（University of Cyprus）

著者名(英語): Bezha Minella (Doshisha University),Ioannou Iacovos I. (University of Cyprus),Nagaoka Naoto (Doshisha University),Javaid Saher (Japan Advanced Institute of Science and Technology),Vasos (University of Cyprus)

キーワード: |Photovoltaic Generation|Mini Grid System Generation|Machine Learning Algorithm|Unpredictable Power Flow|Energy Management|Smart balancing grid & energy storage

要約(英語): The transition to green energy is essential for addressing environmental issues, with PV mini-grid systems offering decentralized energy production. However, unpredictable power flow from these systems remains a challenge due to varying sunlight condition

本誌掲載ページ: 253-254 p

原稿種別: 英語

PDFファイルサイズ: 374 Kバイト