This is an open access article published by the IET under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/)
Full text loading...
/deliver/fulltext/iet-rpg/9/5/IET-RPG.2014.0374.html;jsessionid=1upumom27xwx8.x-iet-live-01?itemId=%2fcontent%2fjournals%2f10.1049%2fiet-rpg.2014.0374&mimeType=html&fmt=ahah
References
-
-
1)
-
14. Zhu, J., Betts, T., Gottschalg, R., Hutchins, M., Pearsall, N.: ‘Accuracy assessment of models estimating total irradiance on inclined planes in Loughborough’. Fourth Photovoltaic Science, Applications and Technology Conf. (PVSAT-4), Bath, UK, 2008, pp. 207–210.
-
2)
-
4. Rowley, P., Gough, R., Doylend, N., Thirkill, A., Leicester, P.: ‘From smart homes to smart communities: Advanced data acquisition and analysis for improved sustainability and decision making’. In Information Society (i-Society), IEEE 2013 Int. Conf. on Smart Data’, June 2013, pp. 263–268.
-
3)
-
30. Anderson, B.: ‘Estimating small area income deprivation : an iterative proportional fitting approach’, in Tanton, R., Edwards, K. (Eds.): ‘Spatial microsimulation: A reference guide for users’ (Springer, 2013), pp. 49–67.
-
4)
-
24. Wilson, D.M., Rowley, P.N., Watson, S.J.: ‘Utilizing a risk-based systems approach in the due diligence process for renewable energy generation’, IEEE Syst. J., 2011, 5, (2), pp. 223–232 (doi: 10.1109/JSYST.2011.2125150).
-
5)
-
25. Pearl, J., Kaufmann, M.: ‘Probabilistic reasoning in intelligent systems: networks of plausible inference’, 1988, .
-
6)
-
17. Cherrington, R., Goodship, V., Longfield, A., Kirwan, K.: ‘The feed-in tariff in the UK: a case study focus on domestic photovoltaic systems’, Renew. Energy, 2013, 50, pp. 421–426 (doi: 10.1016/j.renene.2012.06.055).
-
7)
-
28. Neil, M., Fenton, N., Nielson, L.: ‘Building large-scale Bayesian networks’, Knowl. Eng. Rev., 2000, 15, (3), pp. 257–284 (doi: 10.1017/S0269888900003039).
-
8)
-
21. Pérez-Miñana, E., Krause, P., Thornton, J.: ‘Bayesian networks for the management of greenhouse gas emissions in the British agricultural sector’, Environ. Model. Softw., 2012, 35, pp. 132–148 (doi: 10.1016/j.envsoft.2012.02.016).
-
9)
-
5. Bracale, A., Caramia, P., Carpinelli, G., Di Fazio, A.R., Ferruzzi, G.: ‘A Bayesian method for short-term probabilistic forecasting of photovoltaic generation in smart grid operation and control’, Energies, 2013, 6, (2), pp. 733–747 (doi: 10.3390/en6020733).
-
10)
-
9. Bahaj, A.S., James, P.A.B.: ‘Urban energy generation: the added value of photovoltaics in social housing’, Renew. Sustain. Energy Rev., 2007, 11, (9), pp. 2121–2136 (doi: 10.1016/j.rser.2006.03.007).
-
11)
-
15. Hay McKay, D.: ‘Estimating solar irradiance on inclined surfaces: A review and assessment of methodologies’, Int. J. Solar Energy, 1985, 3, p. 203 (doi: 10.1080/01425918508914395).
-
12)
-
3. Gadsden, S., Rylatt, M., Lomas, K., Robinson, D.: ‘Predicting the urban solar fraction: a methodology for energy advisers and planners based on GIS’, Energy Build., 2003, 35, (1), pp. 37–48 (doi: 10.1016/S0378-7788(02)00078-6).
-
13)
-
11. Hofstra, N., Haylock, M., New, M., Jones, P., Frei, C.: ‘Comparison of six methods for the interpolation of daily European climate data’, J. Geoph. Res., 2008, D21, p. 113.
-
14)
-
26. Dewald, U., Truffer, B.: ‘Market formation in technological innovation systems – diffusion of photovoltaic applications in Germany’, Ind. Innov., 2011, 18, (03), pp. 285–300 (doi: 10.1080/13662716.2011.561028).
-
15)
-
23. Fenton, N., Neil, M.: ‘Risk assessment and decision analysis with bayesian networks’ (CRC Press, 2012), .
-
16)
-
M. Thomson ,
D.G. Infield
.
Impact of widespread photovoltaics generation on distribution systems.
IET Renew. Power Gener.
,
1 ,
33 -
40
-
17)
-
8. Denholm, P., Margolis, R.M.: ‘Evaluating the limits of solar photovoltaics (PV) in traditional electric power systems’, Energy Policy, 2007, 35, (5), pp. 2852–2861 (doi: 10.1016/j.enpol.2006.10.014).
-
18)
-
6. Paatero, J.V., Lund, P.D.: ‘Effects of large-scale photovoltaic power integration on electricity distribution networks’, Renew. Energy, 2007, 32, (2), pp. 216–234 (doi: 10.1016/j.renene.2006.01.005).
-
19)
-
10. UK Meteorological Office: .
-
20)
-
1. ‘UK Government FiT Statisitics’. .
-
21)
-
22. Cinar, D., Kayakutlu, G.: ‘Scenario analysis using Bayesian networks: A case study in the energy sector’, Knowl.-Based Syst., 2010, 23, (3), pp. 267–227 (doi: 10.1016/j.knosys.2010.01.009).
-
22)
-
31. Shipworth, M., Firth, S., Gentry, M., et al: ‘Central heating thermostat settings and timing: building demographics’, Build. Res. Inf., 2010, 38, (1), pp. 50–69 (doi: 10.1080/09613210903263007).
-
23)
-
32. Rowley, P., Leicester, P., Thornley, P., et al: ‘WISE-PV: Whole system and socio-economic impacts of wide scale PV integration’. Proc. of the European Photovoltaic Solar Energy (EU-PVSEC) Conf., Amsterdam, September 2014.
-
24)
-
19. Jakeman, A.: ‘Selecting among five common modelling approaches for integrated environmental assessment and management’, Environ. Model. Softw., 2013, 47, pp. 159–181 (doi: 10.1016/j.envsoft.2013.05.005).
-
25)
-
16. Reindl, D., Beckman, W., Duffie, J.: ‘Evaluation of hourly tilted surface radiation models’, Solar Energy, 1990, 45, pp. 9–17 (doi: 10.1016/0038-092X(90)90061-G).
-
26)
-
12. Strous, L.: ‘Position of the Sun’, 2011, .
-
27)
-
29. Hamilton, I., Steadman, J., Bruhns, H., Summerfield, A., Lowe, R.: ‘Energy efficiency in the British housing stock: Energy demand and the homes energy efficiency database’, Energy Policy, 2013, 60, pp. 462–480 (doi: 10.1016/j.enpol.2013.04.004).
-
28)
-
13. Ridley, B., Boland, P., Lauret, P.: ‘Modelling of diffuse solar fraction with multiple predictors’, Renew. Energy, 2010, 35, pp. 478–482 (doi: 10.1016/j.renene.2009.07.018).
-
29)
-
20. Haines-Young, R.: ‘Exploring ecosystem service issues across diverse knowledge domains using Bayesian belief networks’, Prog. Phys. Geogr., 2011, 35, (5), pp. 681–699 (doi: 10.1177/0309133311422977).
-
30)
-
2. Šúri, M., Huld, T.A., Dunlop, E.D.: ‘PV-GIS: a web-based solar radiation database for the calculation of PV potential in Europe’, Int. J. Sustain. Energy, 2005, 24, (2), pp. 55–67 (doi: 10.1080/14786450512331329556).
-
31)
-
27. Koller, D., Pfeffer, A.: ‘Object-oriented Bayesian networks’. Proc. of the 13th Annual Conf. on Uncertainty in Artificial Intelligence, Providence, Rhode Island, 1997.
-
32)
-
18. Canova, A., Giaccone, L., Spertino, F., Tartaglia, M.: ‘Electrical impact of photovoltaic plant in distributed network’, IEEE Trans. Ind. Appl., 2009, 45, (1), pp. 341–347 (doi: 10.1109/TIA.2009.2009726).
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-rpg.2014.0374
Related content
content/journals/10.1049/iet-rpg.2014.0374
pub_keyword,iet_inspecKeyword,pub_concept
6
6