Review of data-driven models for quantifying load shed by non-residential buildings in the United States

被引:0
|
作者
Malhotra, Yashvi [1 ]
Polly, Ben [2 ]
MacDonald, Jason [3 ]
Clark, Jordan D. [1 ]
机构
[1] The Ohio State University, United States
[2] National Renewable Energy Laboratory, United States
[3] Lawrence Berkeley National Laboratory, United States
关键词
D O I
114870
中图分类号
TM72 [输配电技术];
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] A data-driven methodology to predict thermal behavior of residential buildings using piecewise linear models
    Benzaama, M. H.
    Rajaoarisoa, L. H.
    Ajib, B.
    Lecoeuche, S.
    JOURNAL OF BUILDING ENGINEERING, 2020, 32
  • [32] A Data-Driven Approach to Quantifying Immune States in Sepsis
    Li, Shan
    Liang, Tengxiao
    Xing, Fangliang
    Jiang, Shangshang
    JOVE-JOURNAL OF VISUALIZED EXPERIMENTS, 2025, (216):
  • [33] Study of the behaviour of the shutter prototype for non-residential buildings, aimed at containing the summer heating load
    Grignaffini, S.
    Cappellanti, S.
    Cefalo, A.
    ECO-ARCHITECTURE II: HARMONISATION BETWEEN ARCHITECTURE AND NATURE, 2008, 113 : 263 - 272
  • [34] Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes
    Massana, Joaquim
    Pous, Carles
    Burgas, Llorenc
    Melendez, Joaquim
    Colomer, Joan
    ENERGY AND BUILDINGS, 2016, 130 : 519 - 531
  • [35] Data-driven load profiles and the dynamics of residential electricity consumption
    Mehrnaz Anvari
    Elisavet Proedrou
    Benjamin Schäfer
    Christian Beck
    Holger Kantz
    Marc Timme
    Nature Communications, 13
  • [36] Data-driven load profiles and the dynamics of residential electricity consumption
    Anvari, Mehrnaz
    Proedrou, Elisavet
    Schaefer, Benjamin
    Beck, Christian
    Kantz, Holger
    Timme, Marc
    NATURE COMMUNICATIONS, 2022, 13 (01)
  • [37] A Probabilistic Algorithm for Predictive Control With Full-Complexity Models in Non-Residential Buildings
    Gomez-Romero, Juan
    Fernandez-Basso, Carlos J.
    Cambronero, M. Victoria
    Molina-Solana, Miguel
    Campana, Jesus R.
    Ruiz, M. Dolores
    Martin-Bautista, Maria J.
    IEEE ACCESS, 2019, 7 : 38748 - 38765
  • [38] Data-Driven Approach for Evaluating the Energy Efficiency in Multifamily Residential Buildings
    Seyrfar, Abolfazl
    Ataei, Hossein
    Movahedi, Ali
    Derrible, Sybil
    PRACTICE PERIODICAL ON STRUCTURAL DESIGN AND CONSTRUCTION, 2021, 26 (02)
  • [39] Data-Driven Based Prediction of the Energy Consumption of Residential Buildings in Oshawa
    Lin, Yaolin
    Liu, Jingye
    Gabriel, Kamiel
    Yang, Wei
    Li, Chun-Qing
    BUILDINGS, 2022, 12 (11)
  • [40] Analyzing the implementation of predictive control systems and application of stored data in non-residential buildings
    Savadkoohi, Marjan
    Macarulla, Marcel
    Tejedor, Blanca
    Casals, Miquel
    ENERGY EFFICIENCY, 2024, 17 (07)