Special Issue "Hybrid Advanced Techniques for Forecasting in Energy Sector"

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A special issue of Energies (ISSN 1996-1073).

Deadline for manuscript submissions: closed (31 December 2012)

Special Issue Editor

Guest Editor
Dr. Wei-Chiang Hong
Department of Information Management, Oriental Institute of Technology, No. 58, Sec. 2, Sichuan Rd., Panchiao, Taipei, 220, Taiwan
Website: http://www.engii.org/scet2012/ShowOrganizerDetails.aspx?personID=1766
E-Mail: samuelsonhong@gmail.com

Special Issue Information

Dear Colleagues,

The present issue Hybrid Advanced Techniques for Forecasting in Energy Sector focuses on load/price/wind speed forecasting, which are the prime factors in modern restructured power market by any novel hybrid advanced techniques to provide significant forecasting accuracy improvements (i.e., proved by statistical test). Hybrid advanced models of this issue is not only concentrated on hybrid evolutionary algorithms or hybrid chaos theory, fuzzy theory, cloud theory with evolutionary algorithms to determine suitable parameters for an existed model, but also on hybridization of two or above existed models, such as neuro-fuzzy model, BPNN-fuzzy model, and so on.

Papers are sought on recent novel ideas by hybridizing or combining intelligent computation technologies in all fields forecasting in energy sector: genetic algorithm, simulated annealing algorithm, particle swarm optimization, ant colony optimization, immune algorithm, artificial bee colony algorithm, chaotic mapping sequence (including Logistic mapping, Cat mapping, Tent mapping, and An mapping, etc.), cloud theory, fuzzy theory, artificial neural networks, recurrent mechanism, feed forward mechanism, back-propagation mechanism, seasonal mechanism, etc..

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
Guest Editor

Keywords

  • hybrid models, combined models
  • energy load forecasting
  • hybrid evolutionary algorithms (genetic algorithm, simulated annealing algorithm, particle swarm optimization, ant colony optimization, immune algorithm, artificial bee colony algorithm, fire fly algorithm, harmony search)
  • chaotic mapping sequence (Logistic mapping, Cat mapping, Tent mapping, and An mapping)
  • cloud theory
  • fuzzy theory
  • artificial neural networks (recurrent mechanism, feed forward mechanism, back-propagation mechanism)
  • seasonal mechanism
  • wavelet transform

Published Papers (14 papers)

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Displaying article 1-14
p. 2624-2643
by , , ,  and
Energies 2013, 6(5), 2624-2643; doi:10.3390/en6052624
Received: 28 December 2012; in revised form: 15 May 2013 / Accepted: 15 May 2013 / Published: 22 May 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 2130-2148
by , ,  and
Energies 2013, 6(4), 2130-2148; doi:10.3390/en6042130
Received: 28 December 2012; in revised form: 11 March 2013 / Accepted: 1 April 2013 / Published: 18 April 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
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p. 2110-2129
by , , ,  and
Energies 2013, 6(4), 2110-2129; doi:10.3390/en6042110
Received: 18 January 2013; in revised form: 12 March 2013 / Accepted: 18 March 2013 / Published: 17 April 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
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p. 1918-1929
by , ,  and
Energies 2013, 6(4), 1918-1929; doi:10.3390/en6041918
Received: 9 January 2013; in revised form: 8 February 2013 / Accepted: 26 February 2013 / Published: 3 April 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 1887-1901
by , , ,  and
Energies 2013, 6(4), 1887-1901; doi:10.3390/en6041887
Received: 28 November 2012; in revised form: 2 February 2013 / Accepted: 25 March 2013 / Published: 2 April 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 1329-1343
by  and
Energies 2013, 6(3), 1329-1343; doi:10.3390/en6031329
Received: 4 January 2013; in revised form: 27 January 2013 / Accepted: 26 February 2013 / Published: 5 March 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 1385-1408
by , , , ,  and
Energies 2013, 6(3), 1385-1408; doi:10.3390/en6031385
Received: 28 November 2012; in revised form: 18 February 2013 / Accepted: 20 February 2013 / Published: 5 March 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
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p. 733-747
by , , ,  and
Energies 2013, 6(2), 733-747; doi:10.3390/en6020733
Received: 28 December 2012; in revised form: 24 January 2013 / Accepted: 25 January 2013 / Published: 6 February 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 662-695
by  and
Energies 2013, 6(2), 662-695; doi:10.3390/en6020662
Received: 23 November 2012; in revised form: 12 January 2013 / Accepted: 22 January 2013 / Published: 5 February 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 579-597
by  and
Energies 2013, 6(2), 579-597; doi:10.3390/en6020579
Received: 22 November 2012; in revised form: 31 December 2012 / Accepted: 11 January 2013 / Published: 24 January 2013
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 4711-4725
by  and
Energies 2012, 5(11), 4711-4725; doi:10.3390/en5114711
Received: 5 September 2012; Accepted: 12 November 2012 / Published: 19 November 2012
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
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p. 4430-4445
by , , ,  and
Energies 2012, 5(11), 4430-4445; doi:10.3390/en5114430
Received: 14 September 2012; in revised form: 18 October 2012 / Accepted: 2 November 2012 / Published: 8 November 2012
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 3655-3673
by , ,  and
Energies 2012, 5(9), 3655-3673; doi:10.3390/en5093655
Received: 2 July 2012; in revised form: 10 August 2012 / Accepted: 22 August 2012 / Published: 19 September 2012
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(This article belongs to the Special Issue Hybrid Advanced Techniques for Forecasting in Energy Sector)
p. 3329-3346
by , , ,  and
Energies 2012, 5(9), 3329-3346; doi:10.3390/en5093329
Received: 20 April 2012; in revised form: 15 August 2012 / Accepted: 21 August 2012 / Published: 5 September 2012
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Last update: 25 February 2014

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