Details about Shahaboddin Shamshirband

Access statistics for papers by Shahaboddin Shamshirband.

Last updated 2017-12-31. Update your information in the RePEc Author Service.

Short-id: psh867

Journal Articles

2017

1. An effective Enterprise Architecture Implementation Methodology
   Information Systems and e-Business Management, 2017, 15, (4), 927-962 View citations (2)
   Also in Information Systems and e-Business Management, 1-36 View citations (2)
2. Historical path of traditional and modern idea of ‘conscious universe’
   Quality & Quantity: International Journal of Methodology, 2017, 51, (3), 1183-1195
3. The intelligent forecasting of the performances in PV/T collectors based on soft computing method
   Renewable and Sustainable Energy Reviews, 2017, 72, (C), 1366-1378 View citations (4)

2016

4. A Novel Method to Water Level Prediction using RBF and FFA
   Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, 30, (9), 3265-3283 View citations (5)
5. A simulation model for visitors’ thermal comfort at urban public squares using non-probabilistic binary-linear classifier through soft-computing methodologies
   Energy, 2016, 101, (C), 568-580 View citations (3)
6. A systematic extreme learning machine approach to analyze visitors׳ thermal comfort at a public urban space
   Renewable and Sustainable Energy Reviews, 2016, 58, (C), 751-760 View citations (2)
7. Application of adaptive neuro-fuzzy methodology for estimating building energy consumption
   Renewable and Sustainable Energy Reviews, 2016, 53, (C), 1520-1528 View citations (12)
8. Application of adaptive neuro-fuzzy methodology for performance investigation of a power-augmented vertical axis wind turbine
   Energy, 2016, 102, (C), 630-636 View citations (9)
9. Assessing the proficiency of adaptive neuro-fuzzy system to estimate wind power density: Case study of Aligoodarz, Iran
   Renewable and Sustainable Energy Reviews, 2016, 59, (C), 429-435 View citations (2)
10. Comparative study of clustering methods for wake effect analysis in wind farm
    Energy, 2016, 95, (C), 573-579 View citations (14)
11. Design and state of art of innovative wind turbine systems
    Renewable and Sustainable Energy Reviews, 2016, 61, (C), 258-265 View citations (11)
12. Determining the most important variables for diffuse solar radiation prediction using adaptive neuro-fuzzy methodology; case study: City of Kerman, Iran
    Renewable and Sustainable Energy Reviews, 2016, 53, (C), 1570-1579 View citations (19)
13. Estimating building energy consumption using extreme learning machine method
    Energy, 2016, 97, (C), 506-516 View citations (50)
14. Estimating the diffuse solar radiation using a coupled support vector machine–wavelet transform model
    Renewable and Sustainable Energy Reviews, 2016, 56, (C), 428-435 View citations (26)
15. Firefly optimization algorithm effect on support vector regression prediction improvement of a modified labyrinth side weir's discharge coefficient
    Applied Mathematics and Computation, 2016, 274, (C), 14-19 View citations (3)
16. Identifying the most significant input parameters for predicting global solar radiation using an ANFIS selection procedure
    Renewable and Sustainable Energy Reviews, 2016, 63, (C), 423-434 View citations (16)
17. Precipitation Estimation Using Support Vector Machine with Discrete Wavelet Transform
    Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, 30, (2), 641-652 View citations (8)
    Also in Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, 30, (2), 641-652 (2016) View citations (8)
18. Prediction of Water-Level in the Urmia Lake Using the Extreme Learning Machine Approach
    Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, 30, (14), 5217-5229 View citations (5)
19. Prediction of heat load in district heating systems by Support Vector Machine with Firefly searching algorithm
    Energy, 2016, 95, (C), 266-273 View citations (30)
20. Selection of climatic parameters affecting wave height prediction using an enhanced Takagi-Sugeno-based fuzzy methodology
    Renewable and Sustainable Energy Reviews, 2016, 60, (C), 246-257 View citations (6)
21. Survey of the most influential parameters on the wind farm net present value (NPV) by adaptive neuro-fuzzy approach
    Renewable and Sustainable Energy Reviews, 2016, 57, (C), 1270-1278 View citations (11)
22. Sustainable Cloud Data Centers: A survey of enabling techniques and technologies
    Renewable and Sustainable Energy Reviews, 2016, 62, (C), 195-214 View citations (14)
23. The use of ELM-WT (extreme learning machine with wavelet transform algorithm) to predict exergetic performance of a DI diesel engine running on diesel/biodiesel blends containing polymer waste
    Energy, 2016, 94, (C), 443-456 View citations (12)

2015

24. A comparative evaluation for identifying the suitability of extreme learning machine to predict horizontal global solar radiation
    Renewable and Sustainable Energy Reviews, 2015, 52, (C), 1031-1042 View citations (31)
25. A multi-objective evolutionary algorithm for energy management of agricultural systems—A case study in Iran
    Renewable and Sustainable Energy Reviews, 2015, 44, (C), 457-465 View citations (11)
26. A survey of water level fluctuation predicting in Urmia Lake using support vector machine with firefly algorithm
    Applied Mathematics and Computation, 2015, 270, (C), 731-743 View citations (14)
27. Adaptive neuro-fuzzy approach for solar radiation prediction in Nigeria
    Renewable and Sustainable Energy Reviews, 2015, 51, (C), 1784-1791 View citations (27)
28. Adaptive neuro-fuzzy estimation of diffuser effects on wind turbine performance
    Energy, 2015, 89, (C), 324-333 View citations (5)
29. An architecture of agent-based multi-layer interactive e-learning and e-testing platform
    Quality & Quantity: International Journal of Methodology, 2015, 49, (6), 2435-2458 View citations (1)
30. Analysis of the social capital indicators by using DEMATEL approach: the case of Islamic Azad University
    Quality & Quantity: International Journal of Methodology, 2015, 49, (5), 1985-1995 View citations (1)
31. Appraisal of soft computing methods for short term consumers' heat load prediction in district heating systems
    Energy, 2015, 82, (C), 697-704 View citations (11)
32. Appraisal of the support vector machine to forecast residential heating demand for the District Heating System based on the monthly overall natural gas consumption
    Energy, 2015, 93, (P2), 1558-1567 View citations (34)
33. Developing a fuzzy clustering model for better energy use in farm management systems
    Renewable and Sustainable Energy Reviews, 2015, 48, (C), 27-34 View citations (3)
34. Forecasting of consumers heat load in district heating systems using the support vector machine with a discrete wavelet transform algorithm
    Energy, 2015, 87, (C), 343-351 View citations (30)
35. Heat load prediction in district heating systems with adaptive neuro-fuzzy method
    Renewable and Sustainable Energy Reviews, 2015, 48, (C), 760-767 View citations (22)
36. OSGA: genetic-based open-shop scheduling with consideration of machine maintenance in small and medium enterprises
    Annals of Operations Research, 2015, 229, (1), 743-758 View citations (1)
37. Potential of support vector regression for solar radiation prediction in Nigeria
    Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2015, 77, (2), 1055-1068 View citations (7)
38. Predicting the wind power density based upon extreme learning machine
    Energy, 2015, 86, (C), 232-239 View citations (18)
39. Using the gravitational emulation local search algorithm to solve the multi-objective flexible dynamic job shop scheduling problem in Small and Medium Enterprises
    Annals of Operations Research, 2015, 229, (1), 451-474 View citations (5)
40. Wind wake influence estimation on energy production of wind farm by adaptive neuro-fuzzy methodology
    Energy, 2015, 80, (C), 361-372 View citations (13)

2014

41. Adaptive neuro-fuzzy generalization of wind turbine wake added turbulence models
    Renewable and Sustainable Energy Reviews, 2014, 36, (C), 270-276 View citations (9)
42. Adaptive neuro-fuzzy maximal power extraction of wind turbine with continuously variable transmission
    Energy, 2014, 64, (C), 868-874 View citations (33)
43. Adaptive neuro-fuzzy prediction of the optimum parameters of protective spur dike
    Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2014, 73, (3), 1439-1449 View citations (4)
44. Adaptive neuro-fuzzy selection of the optimal parameters of protective spur dike
    Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2014, 73, (3), 1393-1404 View citations (2)
45. Potential of radial basis function based support vector regression for global solar radiation prediction
    Renewable and Sustainable Energy Reviews, 2014, 39, (C), 1005-1011 View citations (26)
46. Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission
    Energy, 2014, 67, (C), 623-630 View citations (20)

Undated

47. RETRACTED ARTICLE: A systematic review on post-implementation evaluation models of enterprise architecture artefacts
    Information Systems Frontiers, 1-1