Energy Demand and Supply Forecasting Based on Electricity Consumption Intensity and Production Capacity for Development of Operating Support in Headquarter of Indonesian National Army

被引:0
|
作者
Cahyo, Budi Nur [1 ]
Setiawan, Ahmad Agus [1 ]
Wilopo, Wahyu [1 ]
Musyafiq, Afrizal Abdi [2 ]
机构
[1] Univ Gadjah Mada, Dept Syst Engn, Yogyakarta, Indonesia
[2] Univ Nandlatul Ulama Yogyakarta, Dept Elect Engn, Yogyakarta, Indonesia
关键词
forecasting; energy demand and supply; LEAP; TNI Headquarters;
D O I
10.1051/e3sconf/20187301004
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
Indonesia is one of the major countries composed of many islands; directly adjacent to several neighboring countries; and is also a country with a large population in the world. The security and resilience of the state of threats coming from abroad and within the country would have been anticipated by a government agency namely the Indonesian National Army (TNI). The TNI in performing its duties must be supported by means of supporting facilities for operations at headquarters. Supporting facilities for operations at the TNI Headquarters should have enough energy, especially on the need for electrical energy. The need for electrical energy at the TNI Headquarters is fully supported by the State Electricity Company (PLN). In this research will take into account the needs of Tower A and underground at TNI Headquarters which will be built with low voltage building planning. Analysis using LEAP to estimate demand and energy needs lsitrik at TNI Headquarters in order to experience the energy balance. The end result of this research is to provide recommendations to the TNI ranks regarding the capacity building of the necessary operational facilities at the TNI Headquarters.
引用
收藏
页数:5
相关论文
共 5 条
  • [1] Forecasting electricity demand of Shanghai based on power consumption intensity decomposition
    Shi, Ying Ling
    Peng, Mel
    RENEWABLE AND SUSTAINABLE ENERGY, PTS 1-7, 2012, 347-353 : 2796 - 2800
  • [2] Long-term electricity demand forecasting of Sumatera system based on electricity consumption intensity and Indonesia population projection 2010-2035
    Suhono
    Sarjiya
    2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY ENGINEERING AND APPLICATION (ICSEEA) 2014 SUSTAINABLE ENERGY FOR GREEN MOBILITY, 2015, 68 : 455 - 462
  • [3] Flexible renewable energy planning based on multi-step forecasting of interregional electricity supply and demand: Graph-enhanced AI approach
    Kim, Sangyoun
    Heo, Sungku
    Nam, Kijeon
    Woo, Taeyong
    Yoo, Changkyoo
    ENERGY, 2023, 282
  • [4] Examining the resilience of national energy systems: Measurements of diversity in production-based and consumption-based electricity in the globalization of trade networks
    Kharrazi, Ali
    Sato, Masahiro
    Yarime, Masaru
    Nakayama, Hirofumi
    Yu, Yadong
    Kraines, Steven
    ENERGY POLICY, 2015, 87 : 455 - 464
  • [5] Annual Electricity and Energy Consumption Forecasting for the UK Based on Back Propagation Neural Network, Multiple Linear Regression, and Least Square Support Vector Machine
    Liu, Yinlong
    Li, Jinze
    PROCESSES, 2023, 11 (01)