Forecasting of commercial energy consumption in India using Artificial Neural Network

被引：6
|
作者：
Jebaraj, S. [1 ]
Iniyan, S. [2 ]
Kota, Hemanth [2 ]
机构：
[1] Bharath Inst Sci & Technol, Dept Mech Engn, Chennai 600073, Tamil Nadu, India
[2] Anna Univ, Dept Mech Engn, Chennai 600025, Tamil Nadu, India
来源：
INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES | 2007年 / 27卷 / 03期
关键词：
commercial energy sources; Artificial Neural Network; ANN; energy forecasting;
D O I：
10.1504/IJGEI.2007.014349
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
The forecasting of energy consumption is essential for any country to study the future energy demand and to introduce the necessary government policies. This paper presents the formulation of forecasting models based on the Artificial Neural Network (ANN) for the consumption of conventional energy sources. In India, the total energy consumption for coal, oil, electricity and natural gas would be 1594.84 million tones, 720.69 million tones, 1395754 GWh and 137169.1 million cu. m respectively in the year 2030. The actual consumption data is used to validate the different forecasting models and it is found that the ANN model gives better results in most of the cases.
引用
收藏
页码：276 / 301
页数：26
相关论文
共 50 条
  • [1] Forecasting net energy consumption using artificial neural network
    Soezen, Adnan
    Akcayol, M. Ali
    Arcaklioglu, Erol
    [J]. ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY, 2006, 1 (02) : 147 - 155
  • [2] Methods of improvement of energy consumption forecasting using an artificial neural network
    Piotrowski, Pawel
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2007, 83 (06): : 75 - 77
  • [3] Forecasting South Sulawesi Electrical Energy Consumption Using Artificial Neural Network
    Said, Sri Mawar
    Ilyas, Andi Muhammad
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2024, 100 (03): : 191 - 195
  • [4] Forecasting Net Energy Consumption of South Africa using Artificial Neural Network
    Tartibu, L. K.
    Kabengele, K. T.
    [J]. PROCEEDINGS OF THE 2018 16TH INTERNATIONAL CONFERENCE ON THE INDUSTRIAL AND COMMERCIAL USE OF ENERGY (ICUE), 2018, : 16 - 22
  • [5] Oil Consumption Forecasting in Turkey using Artificial Neural Network
    Turanoglu, Ebru
    Senvar, Ozlem
    Kahraman, Cengiz
    [J]. INTERNATIONAL JOURNAL OF ENERGY OPTIMIZATION AND ENGINEERING, 2012, 1 (04) : 89 - 105
  • [6] Short term forecasting of energy consumption with application of artificial neural network
    Piotrowski, Pawel
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2007, 83 (7-8): : 40 - 43
  • [7] Oil demand forecasting for India using artificial neural network
    Jebaraj, S.
    Iniyan, S.
    [J]. INTERNATIONAL JOURNAL OF GLOBAL ENERGY ISSUES, 2015, 38 (4-6) : 322 - 341
  • [8] Energy Consumption Forecasting Using ARIMA and Neural Network Models
    Nichiforov, Cristina
    Stamatescu, Iulia
    Fagarasan, Ioana
    Stamatescu, Grigore
    [J]. 2017 5TH INTERNATIONAL SYMPOSIUM ON ELECTRICAL AND ELECTRONICS ENGINEERING (ISEEE), 2017,
  • [9] Forecasting of Coal Consumption Using an Artificial Neural Network and Comparison with Various Forecasting Techniques
    Jebaraj, S.
    Iniyan, S.
    Goic, R.
    [J]. ENERGY SOURCES PART A-RECOVERY UTILIZATION AND ENVIRONMENTAL EFFECTS, 2011, 33 (14) : 1305 - 1316
  • [10] A comparative analysis of artificial neural network architectures for building energy consumption forecasting
    Moon, Jihoon
    Park, Sungwoo
    Rho, Seungmin
    Hwang, Eenjun
    [J]. INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2019, 15 (09)
12345