Short-term prediction of an artificial neural network in an oscillating water Column

International Journal of Offshore and Polar Engineering

Volumn 21, Issue 4, 2011, Pages 248-255

  Sheng, Wanan ^a   Lewis, Anthony ^a  

^a UNIVERSITY COLLEGE CORK   (Ireland)

Author keywords

Artificial neural network (ANN); Oscillating water column (OWC); Power takeoff and control; Short term prediction; Wave energy converter

Indexed keywords

AIR FLOW; AIR TURBINE; ARTIFICIAL NEURAL NETWORK; ENERGY EXTRACTION; GENERATE ELECTRICITY; MOVING COMPONENTS; NEARSHORES; OSCILLATING WATER COLUMN; REAL TIME; ROTATION SPEED; SHORT TERM PREDICTION; WATER REGIONS; WAVE ENERGY CONVERTER; WAVE ENERGY CONVERTERS; WAVE ENERGY DEVICES; WAVE ENERGY PRODUCTION; WAVE ENERGY RESOURCES; WORKING CONDITIONS;

ENERGY RESOURCES; GAS TURBINES; NEURAL NETWORKS; POWER TAKEOFFS; RANDOM PROCESSES; SEAWATER; WAVE ENERGY CONVERSION; WAVE POWER;

FORECASTING;

AIRFLOW; ARTIFICIAL NEURAL NETWORK; CONTROL SYSTEM; ELECTRICITY GENERATION; ENERGY RESOURCE; FLOATING OFFSHORE STRUCTURE; OFFSHORE ENGINEERING; ROTATION; SEAWATER; WATER COLUMN; WAVE POWER;

EID: 84857592643     PISSN: 10535381     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (25)

1. Adya, M, and Collopy, F (1998). "How Effective Are Neural Networks at Forecasting and Prediction? A Review and Evaluation," J Forecasting, Vol 17, pp 481-495.
2. Akzhalova, A, Altayeva, A, and Duzbayev, N (2007). "Model Driven Prediction and Control," J Object Tech, Special Issue on Advanced Quality of Service Management, Vol 6, No 11.
3. Beirao, P, Mendes, MJGC, Valerio, D, and Costa, JS (2007). "Control of the Archimedes Wave Swing Using Neural Networks,"Presented at 7th Euro Wave and Tidal Energy Conf (EWTEC 2007), Porto, Portugal
4. Deo, MC, and Naidu, S (1999). "Real Time Wave Forecasting Using Neural Networks," Ocean Eng, Vol 26, pp 191-203.
5. Deo, MC, Jha, A, Chaphekar, AS, and Ravikant, K (2001). "Neural Networks for Wave Forecasting," Ocean Eng, Vol 28, pp 889-898.
6. Dia, H (2001). "An Object-oriented Neural Network Approach to Short-Term Traffic Forecasting," Euro J Operational Res, Vol 131, pp 253-261.
7. Chapman, AJ (1994). "Stock Market Trading Systems Through Neural Networks: Developing a Model," Int J Appl Expert Systems, Vol 2, Vol 2, pp 88-100.
8. Elsner, J (1992). "Predicting Time Series Using a Neural Network as a Method of Distinguishing Chaos from Noise," J Physics A: Math Gen, Vol 25, pp 843-850.
9. Felix, AG, Schraudolph, NN, and Schmidhuber, J (2002). "Learning Precise Timing with LSTM Recurrent Networks," J Machine Learning Res, Vol 3, pp 115-143.
10. Furtado, HCM, Velho, HFC, and Macau, EEN (2008). "Data Assimilation: Particle Filter and Artificial Neural Networks," J Physics: Conf Ser, Vol 135, p 012073.
11. Fusco, F, and Ringwood, J (2009), "A Study on Short-Term Sea Profile Prediction for Wave Energy Applications," Proc 8th Euro Wave and Tidal Energy Conf (EWTEC 2009), Uppsala.
12. Haddara, MR, and Xu, J (1999). "On the Identification of Ship Coupled Heave-Pitch Motions Using Neural Networks," Ocean Eng, Vol 26, pp 384-400.
13. Holmes, B, and Nielsen, K (2010). "IEA-OES, ANNEX II: Task 2.1 Guidelines for Development & Testing of Wave Energy Systems," www.iea-oceans.org/_fich/6/Report_02-2.1%28a%29.pdf (cited on 20 Feb 2011).
14. Keyvan, S, Durg, A, and Nagaraj, J (1997). "Application of Artificial Neural Networks for the Development of a Signal Monitoring System," Export System, Vol 14, No 2, pp 69-79.
15. Lee, TL (2008). "Back-Propagation Neural Network for the Prediction of the Short-Term Storm Surge in Taichung Harbor, Taiwan," Eng Applications of Artificial Intelligence, Vol 21, pp 63-72.
16. Makarynskyy, O (2004), "Improving Wave Predictions with Artificial Neural Networks," Ocean Eng, Vol 31, pp 709-724.
17. Mandal, S, and Prabaharan, N (2006). "Ocean Wave Forecasting Using Recurrent Neural Networks," Ocean Eng, Vol 33, pp 1401-1410.
18. Moody, J (1995), "Economic Forecasting: Challenges and Neural Network Solutions," Keynote presented at Int Symp Artificial Neural Networks, Hsinchu, Taiwan.
19. Nakamura, M, Ohmachi, T, and Shima, T (2003). "Model Experiments on Dynamic Positioning System Using Neural Network Controller," Proc 13th Int Offshore and Polar Eng Conf, Honolulu, ISOPE, Vol 1, pp 203-209.
20. Price, AA, and Wallace, AR (2007). "Non-linear Methods for Next Wave Estimation," Presented at Euro Wave and Tidal Energy Conf (EWTEC 2007), Porto, Portugal.
21. Rojas, R (1996). Neural Networks: A Systematic Introduction, Springer-Verlag, Berlin.
22. Teschl, R, and Randeu, WL (2006). "A Neural Network Model for Short-Term River Flow Prediction," Natural Hazards and Earth System Sciences, Vol 6, pp 629-635.
23. Tsai, J, and Tsai, C (2009). "Wave Measurements by Pressure Transducers Using Artificial Neural Networks," Ocean Eng, Vol 36, No 15-16, pp 1149-1157.
24. Yao, J, and Tan, CL (2001). "Guidelines for Financial Forecasting with Neural Networks," Proc Int Conf Neural Info Processing, Shanghai, pp 757-761.
25. Zhang, G, Patuwo, BE, and Hu, MY (1998). "Forecasting with Artificial Neural Networks: The State of the Art," Int J Forecasting, Vol 14, pp 35-62.