Special Issue "Intelligent Energy Demand Forecasting"
A special issue of Energies (ISSN 1996-1073).
Deadline for manuscript submissions: closed (31 December 2011)
Dr. Wei-Chiang Hong
Department of Information Management, Oriental Institute of Technology, No. 58, Sec. 2, Sichuan Rd., Panchiao, Taipei, 220, Taiwan
Dr. Yucheng Dong
Department of Organization and Management, School of Management, Xi’an Jiaotong University, China
The present issue “Intelligent Energy Demand Forecasting” focuses on accurate energy demand modeling by intelligent computation (IC) approaches to provide well energy planning, accurate energy expenditure prediction, and energy distributing efficiency. Particular forecasting technologies of this issue is concentrated on evolutionary computing, neural computing, fuzzy computing, natural computing, probabilistic computing, wavelet transform, and chaotic sequence with evolutionary algorithms, etc.. Papers are sought on recent novel IC technology developments with major application areas in (but not limited to): short term load forecasting (STLF), long term load forecasting, wind energy demand forecasting, solar energy demand forecasting, novel energy (Green energy, ocean energy, etc.) demand forecasting, and business energy demand patterns forecasting. Manuscripts on power transmission design/prediction or IC treatments of economic dispatch scheduling are not targeted in this edition and should be submitted elsewhere.
Dr. Wei-Chiang Hong,
Dr. Yucheng Dong
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed Open Access monthly journal published by MDPI.
- short term load forecasting (STLF)
- energy demand forecasting
- intelligent computation
- evolutionary computing
- neural computing
- fuzzy computing
- natural computing
- probabilistic computing
- wavelet transform
- chaotic sequence
- evolutionary algorithms
Energies 2011, 4(3), 488-503; doi:10.3390/en4030488
Received: 4 February 2011; in revised form: 22 February 2011 / Accepted: 9 March 2011 / Published: 10 March 2011| Download PDF Full-text (562 KB)
Energies 2011, 4(6), 960-977; doi:10.3390/en4060960
Received: 24 March 2011; in revised form: 7 June 2011 / Accepted: 14 June 2011 / Published: 17 June 2011| Download PDF Full-text (314 KB)
Energies 2011, 4(8), 1246-1257; doi:10.3390/en4081246
Received: 3 May 2011; in revised form: 27 July 2011 / Accepted: 9 August 2011 / Published: 22 August 2011| Download PDF Full-text (475 KB)
Energies 2011, 4(10), 1495-1507; doi:10.3390/en4101495
Received: 22 July 2011; in revised form: 14 September 2011 / Accepted: 20 September 2011 / Published: 28 September 2011| Download PDF Full-text (299 KB)
Energies 2012, 5(1), 1-21; doi:10.3390/en5010001
Received: 29 September 2011; in revised form: 8 November 2011 / Accepted: 7 December 2011 / Published: 22 December 2011| Download PDF Full-text (2330 KB)
Article: Modeling of Turbine Cycles Using a Neuro-Fuzzy Based Approach to Predict Turbine-Generator Output for Nuclear Power Plants
Energies 2012, 5(1), 101-118; doi:10.3390/en5010101
Received: 15 December 2011; in revised form: 16 January 2012 / Accepted: 16 January 2012 / Published: 19 January 2012| Download PDF Full-text (2587 KB)
Energies 2012, 5(3), 577-598; doi:10.3390/en5030577
Received: 29 January 2012; in revised form: 18 February 2012 / Accepted: 23 February 2012 / Published: 1 March 2012| Download PDF Full-text (337 KB)
Last update: 27 December 2012