文献
J-GLOBAL ID:202102245141568379
整理番号:21A0206354
ユーティリティのある大規模アプリケーションのために設計した自動生成,多重特徴化,個人化エコフィードバックに対応した住宅電力保存【JST・京大機械翻訳】
Residential electricity conservation in response to auto-generated, multi-featured, personalized eco-feedback designed for large scale applications with utilities
著者 (16件):
Meinrenken Christoph J.
(Data Science Institute, Columbia University, New York, USA)
,
Meinrenken Christoph J.
(Earth Institute, Columbia University, New York, USA)
,
Abrol Sanjmeet
(Data Science Institute, Columbia University, New York, USA)
,
Gite Gaurav B.
(Data Science Institute, Columbia University, New York, USA)
,
Hidey Christopher
(Dep. of Computer Science, Columbia University, New York, USA)
,
McKeown Kathleen
(Data Science Institute, Columbia University, New York, USA)
,
McKeown Kathleen
(Dep. of Computer Science, Columbia University, New York, USA)
,
Mehmani Ali
(Data Science Institute, Columbia University, New York, USA)
,
Modi Vijay
(Data Science Institute, Columbia University, New York, USA)
,
Modi Vijay
(Dep. of Mechanical Engineering, Columbia University, New York, USA)
,
Turcan Elsbeth C.
(Dep. of Computer Science, Columbia University, New York, USA)
,
Xie Wanlin
(Dep. of Computer Science, Columbia University, New York, USA)
,
Culligan Patricia J.
(Data Science Institute, Columbia University, New York, USA)
,
Culligan Patricia J.
(Earth Institute, Columbia University, New York, USA)
,
Culligan Patricia J.
(Dep. of Civil Eng. and Eng. Mechanics, Columbia University, NY, USA)
,
Culligan Patricia J.
(Dep. of Civil & Env. Eng. & Earth Sciences, U. of Notre Dame, Notre Dame, USA)
資料名:
Energy and Buildings
(Energy and Buildings)
巻:
232
ページ:
Null
発行年:
2021年
JST資料番号:
A0199A
ISSN:
0378-7788
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)