Long-term electricity demand forecasting of Sumatera system based on electricity consumption intensity and Indonesia population projection 2010-2035

被引:10
作者
Suhono [1 ]
Sarjiya [1 ]
机构
[1] Gadjah Mada Univ, Dept Elect Engn & Informat Technol, Yogyakarta 55281, Indonesia
来源
2ND INTERNATIONAL CONFERENCE ON SUSTAINABLE ENERGY ENGINEERING AND APPLICATION (ICSEEA) 2014 SUSTAINABLE ENERGY FOR GREEN MOBILITY | 2015年 / 68卷
关键词
electricity; demand forecasting; LEAP; Sumatera;
D O I
10.1016/j.egypro.2015.03.277
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
An important step in energy management especially in electricity planning is demand forecasting. A simple model is presented using LEAP (Long-range Energy Alternative Planning System) as a tool and Sumatera systems as a case study. It aims to be easy to understand and applicable. Electricity demand in household sector is calculated based on data of population, household size, electrification ratio and electricity intensity. On the other hand, electricity demand in non-household sector is calculated as a product of number of customers and its electricity intensity. The base year is 2010 and 2025 is the end of forecasting period. The result shows that electricity demand in Sumatera system would be increase more than seven times compared to base year value. A comparative study was also carried out. (C) 2015 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:455 / 462
页数:8
相关论文
共 17 条
  • [1] Electric load forecasting: literature survey and classification of methods
    Alfares, HK
    Nazeeruddin, M
    [J]. INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE, 2002, 33 (01) : 23 - 34
  • [2] [Anonymous], 2013, Key World Energy Statistics
  • [3] BAPPENAS BPS and UNFPA, 2013, IND POP PROJ 2010 20
  • [4] Bekhet H.A., 2011, J. Econ. Int. Finance, V3, P228, DOI DOI 10.5897/JEIF.9000022
  • [5] Bockris JO, 2011, SMART GRID RENEWABLE, P152
  • [6] Directorate General of Electricity MEMR, 2013, BOOK EL STAT
  • [7] Short-term forecasting of Jordanian electricity demand using particle swarm optimization
    El-Telbany, Mohammed
    El-Karmi, Fawwaz
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (03) : 425 - 433
  • [8] Hartono TD, 2013, KUAL LUMP INT BUS EC
  • [9] Husna S, 2014, JURNAL TEKNOLOGI SCI, V69, P39
  • [10] Kazemia A, 2012, INT C LEAD TECHN INN