Open Data and Energy Analytics

被引：7
|
作者：
Nastasi, Benedetto [1 ,2 ]
Manfren, Massimiliano [3 ]
Noussan, Michel [4 ,5 ]
机构：
[1] Sapienza Univ Rome, Dept Planning Design & Technol Architecture, Via Flaminia 72, I-00196 Rome, Italy
[2] TU Delft Univ Technol, Dept Architectural Engn & Technol, Julianalaan 134, NL-2628 BL Delft, Netherlands
[3] Univ Southampton, Fac Engn & Phys Sci, Boldrewood Innovat Campus,Burgess Rd, Southampton SO16 7QF, Hants, England
[4] Fdn Eni Enrico Mattei, Corso Magenta 63, I-20123 Milan, Italy
[5] Politecn Torino, Dept Energy, Corso Duca Abruzzi 24, I-10129 Turin, Italy
来源：
ENERGIES | 2020年 / 13卷 / 09期
关键词：
open data analytics; energy planning; smart cities; open energy governance; urban database; energy mapping; building dataset; energy modelling; data mining; machine learning;
D O I：
10.3390/en13092334
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
This pioneering Special Issue aims at providing the state-of-the-art on open energy data analytics; its availability in the different contexts, i.e., country peculiarities; and at different scales, i.e., building, district, and regional for data-aware planning and policy-making. Ten high-quality papers were published after a demanding peer review process and are commented on in this Editorial.
引用
收藏
页数：3
相关论文
共 50 条
  • [41] Application of Big Data in Smart Grids: Energy Analytics
    Marlen, Azamat
    Maxim, Askar
    Ukaegbu, Ikechi A.
    Nunna, H. S. V. S. Kumar
    2019 21ST INTERNATIONAL CONFERENCE ON ADVANCED COMMUNICATION TECHNOLOGY (ICACT): ICT FOR 4TH INDUSTRIAL REVOLUTION, 2019, : 402 - 407
  • [42] Data Analytics and Uncertainty Quantification for Energy Prediction in Manufacturing
    Ak, Ronay
    Bhinge, Raunak
    PROCEEDINGS 2015 IEEE INTERNATIONAL CONFERENCE ON BIG DATA, 2015, : 2782 - 2784
  • [43] Advanced data analytics for building energy modeling and management
    Cheng Fan
    Fu Xiao
    Da Yan
    Building Simulation, 2021, 14 : 1 - 2
  • [44] Advanced data analytics for building energy modeling and management
    Fan, Cheng
    Xiao, Fu
    Yan, Da
    BUILDING SIMULATION, 2021, 14 (01) : 1 - 2
  • [45] Optimizing Data Analytics in Energy Constrained IoT Networks
    Galanopoulos, Apostolos
    Iosifidis, George
    Salonidis, Theodoros
    2018 16TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT), 2018,
  • [46] An Integrated Energy Data Analytics Approach for Machine Tools
    Kang, Hyoung Seok
    Lee, Ju Yeon
    Lee, Dong Yoon
    IEEE ACCESS, 2020, 8 : 56124 - 56140
  • [47] Energy Big Data Analytics and Security: Challenges and Opportunities
    Hu, Jiankun
    Vasilakos, Athanasios V.
    IEEE TRANSACTIONS ON SMART GRID, 2016, 7 (05) : 2423 - 2436
  • [48] Energy Efficient Neural Networks for Big Data Analytics
    Wang, Yu
    Li, Boxun
    Luo, Rong
    Chen, Yiran
    Xu, Ningyi
    Yang, Huazhong
    2014 DESIGN, AUTOMATION AND TEST IN EUROPE CONFERENCE AND EXHIBITION (DATE), 2014,
  • [49] An Advanced Data Analytics Framework for Energy Efficiency in Buildings
    Schachinger, Daniel
    Gaida, Stefan
    Kastner, Wolfgang
    Petrushevski, Filip
    Reinthaler, Clemens
    Sipetic, Milos
    Zucker, Gerhard
    2016 IEEE 21ST INTERNATIONAL CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA), 2016,
  • [50] An open compute and data federation as an alternative to monolithic infrastructures for big Earth data analytics
    Backeberg, Bjorn
    Sustr, Zdenek
    Fernandez, Enol
    Donchyts, Gennadii
    Haag, Arjen
    Oonk, J. B. Raymond
    Venekamp, Gerben
    Schumacher, Benjamin
    Reimond, Stefan
    Chatzikyriakou, Charis
    BIG EARTH DATA, 2023, 7 (03) : 812 - 830
12345