Diversification of Power Generation Brings Greater Need for Data-Based Decisions

被引：0
|
作者：
Proctor, Darrell
机构：
来源：
Power | 2024年 / 168卷
关键词：
Electric industry;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Utilities and power generators know that collecting data is critical to their operations. The process has grown in importance as the power grid diversifies, with more renewable energy being added to existing thermal generation. Software and other tools are providing the electric power industry with more data from a variety of sources, supporting the ability of energy producers to make better decisions when it comes to their assets.
引用
收藏
页码：14 / 17
相关论文
共 50 条
  • [21] Observational data-based quality assessment of scenario generation for stochastic programs
    Ay, Didem Sari
    Ryan, Sarah M.
    COMPUTATIONAL MANAGEMENT SCIENCE, 2019, 16 (03) : 521 - 540
  • [22] Data-based extraction of unidimensional fuzzy sets for fuzzy rule generation
    Krone, A
    Slawinski, T
    1998 IEEE INTERNATIONAL CONFERENCE ON FUZZY SYSTEMS AT THE IEEE WORLD CONGRESS ON COMPUTATIONAL INTELLIGENCE - PROCEEDINGS, VOL 1-2, 1998, : 1032 - 1037
  • [23] Data-based generation of fuzzy rules using an agglomerative cluster method
    Haendel, L
    11. WORKSHOP FUZZY CONTROL DES GMA-FA 5.22, PROCEEDINGS, 2001, 6660 : 44 - 57
  • [24] A Data-Based Discussion About Land Management Decisions That Limit Access to Protected Areas
    McCole, Dan
    Perry, Elizabeth E.
    Bobilya, Andrew J.
    Janes, Madison M.
    Owens, Travis
    JOURNAL OF OUTDOOR RECREATION EDUCATION AND LEADERSHIP, 2024, 16 (04): : 103 - 110
  • [25] Linked open data-based framework for automatic biomedical ontology generation
    Alobaidi, Mazen
    Malik, Khalid Mahmood
    Sabra, Susan
    BMC BIOINFORMATICS, 2018, 19 : 319
  • [26] Observational data-based quality assessment of scenario generation for stochastic programs
    Didem Sarı Ay
    Sarah M. Ryan
    Computational Management Science, 2019, 16 : 521 - 540
  • [27] Linked open data-based framework for automatic biomedical ontology generation
    Mazen Alobaidi
    Khalid Mahmood Malik
    Susan Sabra
    BMC Bioinformatics, 19
  • [28] May the Power Be With You: Pilot Data-Based Simulations for Estimating Power in Mixed Models
    Kumle, Leah
    Draschkow, Dejan
    Vo, Melissa L. -H.
    PERCEPTION, 2019, 48 : 134 - 134
  • [29] Construction of an efficient portfolio of power purchase decisions based on risk-diversification tradeoff
    Contreras, Javier
    Rodriguez, Yeny E.
    Sosa, Anibal
    ENERGY ECONOMICS, 2017, 64 : 286 - 297
  • [30] Statistical data-based prediction of carbon dioxide emission factors of China's power generation at carbon peak in 2030
    Zhang, Xinxin
    Xu, Kaili
    CASE STUDIES IN THERMAL ENGINEERING, 2023, 51
12345