Comparison of energy intake prediction algorithms for systems powered by photovoltaic harvesters

Microelectronics Journal

Volumn 41, Issue 11, 2010, Pages 766-777

  Bergonzini, Carlo ^a   Brunelli, Davide ^b   Benini, Luca ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

Energy harvesting; Photovoltaic systems; Power management; Prediction algorithms; Wireless sensor network

Indexed keywords

ACCURATE PREDICTION; AVERAGE ERRORS; COMPUTATIONAL EFFORT; CYCLIC BEHAVIOR; ENERGY INTAKE; ENERGY USAGE; LOW POWER STATE; MINIMUM ENERGY COSTS; MOVING AVERAGES; PERSONAL DEVICES; PHASE DISPLACEMENT; PHOTOVOLTAIC MODULES; PHOTOVOLTAIC SYSTEMS; POWER CONSTRAINTS; POWER MANAGEMENT STRATEGIES; POWER MANAGEMENTS; PREDICTION ALGORITHMS; SMALL SIZE; WIRELESS SENSOR; WIRELESS SENSOR NODE;

ALGORITHMS; ELECTRIC NETWORK SYNTHESIS; ENERGY MANAGEMENT; FORECASTING; HARVESTING; OPTIMIZATION; PHOTOVOLTAIC EFFECTS; SENSOR NETWORKS; SENSOR NODES; SOLAR ENERGY; TELECOMMUNICATION EQUIPMENT; WIRELESS SENSOR NETWORKS;

ENERGY HARVESTING;

EID: 77957749001     PISSN: 00262692     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.mejo.2010.05.003     Document Type: Conference Paper

References (20)

1. C. Alippi, C. Galperti, An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes, in: ISCAS, 2006.
2. D. Brunelli, C. Moser, L. Benini, L. Thiele, An efficient solar energy harvester for wireless sensor nodes, in: Design, Automation & Test in Europe Conference & Exhibition, 2008. DATE '08, 1014 March, 2008.
3. C. Park, P. Chou, Ambimax: Autonomous energy harvesting platform for multi-supply wireless sensor nodes, in: Proceedings of the Sensor and Ad Hoc Communications and Networks. SECON '06, vol. 1, 2006, pp. 168177.
4. A. Kansal, J. Hsu, S. Zahedi, M.B. Srivastava, Power management in energy harvesting sensor networks, in: ACM Trans. Embedded Comput. Syst. 6 (4) (2007) 32. 〈http://doi.acm.org/10.1145/1274858.1274870〉.
5. A. Kansal, J. Hsu, M. Srivastava, V. Raqhunathan, Harvesting aware power management for sensor networks, in: Automation Conference, 2006, 43rd ACM/IEEE, 2006, pp. 651656.
6. C. Moser, L. Thiele, D. Brunelli, L. Benini, Adaptive power management in energy harvesting systems, in: Design, Automation and Test in Europe Conference and Exhibition, 2007. DATE '07, 2007, pp. 16. doi: 10.1109/DATE.2007.364689. (Pubitemid 47334051)
7. I. Folcarelli, A. Susu, T. Kluter, G.D. Micheli, A. Acquaviva, An opportunistic reconfiguration strategy for environmentally powered devices, in: Conference On Computing Frontiers, 2006.
8. C. Moser, D. Brunelli, L. Thiele, L. Benini, Real-time scheduling with regenerative energy., in: 18th Euromicro Conference on Real-Time Systems, ECRTS 2006, Dresden, Germany, 2006.
9. S. Kaplanis, E. Kaplani, A model to predict expected mean and stochastic hourly global solar radiation i(h;nj) values, Renewable Energy 32 (8) (2007) 1414-1425. doi: 10.1016/j.renene.2006.06.014. (Pubitemid 44829937)
10. Fatih O. Hocaoglu, Omer N. Gerek, Mehmet Kurban, Hourly solar radiation forecasting using optimal coefficient 2-D linear filters and feed-forward neural networks, Solar Energy 82 (8) (2008) 714-726. doi: 10.1016/j.solener.2008.02. 003.
11. J.K. Piorno C. Bergonzini, D. Atienza, T.S. Rosing, Prediction and management in energy harvested wireless sensor nodes, in: Wireless Vitae, 2009.
12. C. Bergonzini, D. Brunelli, L. Benini, Algorithms for harvested energy prediction in batteryless wireless sensor nodes, in: Third IEEE International Workshop on Advances in Sensors and Interfaces, 2009.
13. D.R. Cox, Prediction by exponentially weighted moving averages and related methods, Journal of the Royal Statistical Society, Ser. B 23 (1961) 414422.
14. F. Simjee, and P.H. Chou Everlast: long-life, supercapacitor-operated wireless sensor node ISLPED '06: Proceedings of the 2006 International Symposium on Low Power Electronics and Design 2006 ACM Press New York, NY, USA 197 202 http://doi.acm.org/10.1145/1165573.1165619
15. P. Dutta, J. Hui, J. Jeong, S. Kim, C. Sharp, J. Taneja, G. Tolle, K. White-house, D. Culler, Trio: enabling sustainable and scalable outdoor wireless sensor network deployments, in: Information Processing in Sensor Networks, 2006. IPSN 2006. The Fifth International Conference on 1921 April 2006, pp. 407415.
16. H. Shao, C.-Y. Tsui, and W.-H. Ki A micro power management system and maximum output power control for solar energy harvesting applications ISLPED '07: Proceedings of the 2007 International Symposium on Low Power Electronics and Design 2007 ACM New York, NY, USA 298 303 http://doi.acm.org/10.1145/ 1283780.1283844 (Pubitemid 350239942)
17. X. Jiang, J. Polastre, D.E. Culler, Perpetual environmentally powered sensor networks., in: Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks, IPSN 2005, UCLA, Los Angeles, California, USA, 2005, pp. 463468.
18. V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, M.B. Srivastava, Design considerations for solar energy harvesting wireless embedded systems, in: IPSN 2005, UCLA, Los Angeles, California, USA, 2005, pp. 457462.
19. C. Moser, L. Thiele, D. Brunelli, L. Benini, Robust and low complexity rate control for solar powered sensors, in: Design, Automation and Test in Europe, 2008. DATE'08, 2008, pp. 230235. doi: 10.1109/DATE.2008.4484691.
20. N. Karunanithi, D. Whitley, and Y.K. Malaiya Using neural networks in reliability prediction IEEE Software 9 1992 53 59