THEORETICAL ASPECTS OF THE PREDICTIONAL INSTRUMENTATION FOR APPLICATION IN THE STATE REGULATION OF THE PARTICIPANTS RELATIONSHIPS IN THE ELECTRICITY MARKET
##plugins.themes.bootstrap3.article.main##
##plugins.themes.bootstrap3.article.sidebar##
Abstract
How to Cite
##plugins.themes.bootstrap3.article.details##
the regulation, energy market, energy market participants, forecasting methods.
Otchet o rezultatah deyatelnosti Natsionalnoy komissii, osuschestvlyayuschey gosudarstvennoe regulirovanie v sferah energetiki i kommunalnyih uslug, v 2016 godu [The Report on the activity results of the of the National Commission implementing state regulation in the energy and utilities sectors in 2016], utverzhden Postanovleniem
NKREKU ot 30.03.2017 № 460. Retriever from: http://www.nerc.gov.ua/data/filearch/Catalog3/Richnyi_zvit_NKREKP_2016.pdf. – 292 p.
Ukrayina poky ne zbirayetsya vidnovlyuvaty eksport elektroenergiyi do Bilorusi ta Moldovy (2015) [Ukraine is not going to resume electricity exports to Belarus and Moldova]. UNIAN. Ekonomika. Energetika. Retriever from: http://economics.unian.ua/energetics/1031690-ukrajina-poki-ne-zbiraetsya-vidnovlyuvati-eksportelektroenergiji-do-bilorusi-ta-moldovi.html.
Gonta, I. (2015). Neozhidannyj energoudar [Unexpected energy attack]. Mirror of the week. Retriever from: http://gazeta.zn.ua/energy_market/neozhidannyy-energoudar-otkaz-ot-zelenoy-alternativy-netenergeticheskoy-nezavisimosti-_.html
Grachova, E. I. (2013). Prognozirovaniye poter elektroenergiyi v setyah nizkogo napryazheniya na osnove regressionnogo analiza [Forecasting of electricity losses in low voltage networks based on regression analysis]. The Bulletin of the South Ural State University. Series: Energy, Vol. 2, T. 13, pp. 19-24.
Danilov, I. A. Operezhayushcheye razvitiye elektroenergetiki neobhodimoye usloviye razvitiya ekonomicheskoy modeli [Advanced development of the electric power industry is a prerequisite for the development of the economic model]. Retriever from: http://www.eeseaec.org/vestnik-energetiki-eaec/stati-otzyvy-kommentarii-prodolzenie
Zin, E. A. (2007). Regionalnaya ekonomika [Regional economy]: uchebnik – Kijev, ProfesIonal, 528 p.
Kalyuzhnaja, N. G. (2015). Opredeleniye ponyatiy «sistema» i «sistema upravleniya» na osnove deskriptivnogo i konstruktivnogo podhodov [Definition of the concepts "system" and "management system" on the basis of descriptive and constructive approaches]. Biznes Inform, issue 2, pp. 15-20.
Korikov, A. M., Safyanova, O. M.(2005). Osnovy sistemnogo analiza i teorii sistem [Fundamentals of system analysis and system theory] – Tomsk, TGU, 320 p.
Leonenkov, A. V. (2005). Nechetkoye modelirovaniye v srede MATLAB fuzzyTECH [Fuzzy modeling in MATLAB environment fuzzyTECH] – Spb, BHV-Peterburg, 736 p.
Muratova, L. I., Bakov N. H., Horuzhiy V. I., Kanukov V. M. (2009). Normativnye sistemy v prognozirovanii razvitiya predprinimatelskogo sektora ekonomiki (Part 1) [Normative systems in forecasting the development of the business sector of the economy]. Upravlenie ekonomicheskimi sistemami, issue 20. Retriever from: http://www.uecs.ru/predprinematelstvo/item/142--1
Surmin, Yu. P. (2003). Teoriya sistem i sistemnyi analiz [The Theory of systems and systems analysis]: ucheb. posob. – Kiyev, MAUP, 368 p.
Tihonov, E. E. (2006). Prognozirovaniye v usloviyah rynka: uchebnoe posobie [Market Forecasting] Nevinnomyissk, 221 p.
Catalão, J. P. S., Mariano, S.J.P.S., Mendes, V.M.F., Ferreira, L.A.F.M. (2005). An artificial neural network approach for day-ahead electricity prices forecasting, Trabalho apresentado em NN'05, In Proceedings of the 6th WSEAS International Conference on Neural Networks, Lisbon, Portugal, Issue 4., Vol. 4, pp. 451-454.
Catalão, J. P. S., Mariano, S.J.P.S., Mendes, V.M.F., Ferreira, L.A.F.M. (2007). An artificial neural network approach for short-term electricity prices forecasting, Engineering Intelligent Systems, issue 15, Vol. 1, pp. 15-23.
Cuaresma, J. C., Hlouskova, J., Kossmeier, S., Obersteiner, M. (2004). Forecasting electricity spotprices using linear univariate time-series models. Applied Energy, Issue 77(1), pp. 87-106.
Draper, N., Smith, H. (1981). Applied regression analysis – New York, Wiley, In press, 693 p.
Escribano, A, Pe˜na, J. I. and Villaplana, P. (2002). Modelling electricity prices: International evidence. Working Paper 02-27, Universidad Carlos III de Madrid.
Fezzi, C. (2007). Econometric models for the analysis of electricity markets. Phdthesis in statistical methodology for scientific research, XIX cycle, Department ofStatistics, University of Bologna, 166 p.
Jingfei Yang, M. Sc. (2006). Power System Short-term Load Forecasting: Thesis for Ph.d degree, Germany, Darmstadt, Elektrotechnik und Informationstechnik der Technischen Universität, 139 p. Retriever from:
http://tuprints.ulb.tu-darmstadt.de/epda/000662/Yangjingfei.pdf
Kristiansen, T. (2012). Forecasting NordPool day ahead prices with an autoregressive model. Energy Policy, issue 49, pp. 328 332.
Mazengia, D. H. (2008). Forecasting spot electricity market prices using time series models: Thesis for the degree of Master of Science in Electric Power Engineering, IEEE International conference on Sustainable Energy
Technologies, pp. 1256-1261.
Murthy, G. G. P., Sedidi, V., Panda, A. K., Rath, B. N. (2014). Forecasting Electricity Prices in Deregulated Wholesale Spot Electricity Market: A Review. International Journal of Energy Economics and Policy, Vol. 4, issue 1, pp. 32-42.
Nan, Fany (2009). Forecasting next-day electricity prices: from different models to combination, 130 p.
Panagiotelis, A. and Smith, M. (2008). Bayesian density forecasting of intraday electricity prices using multivariate skew t distributions. International Journal of Forecasting, issue 24, pp. 710 727.
Szkuta, B. R., Sanabria, L. A. and Dillon, T. S. (1999). Electricity Price Short-Term Forecasting using Artificial Neural Networks. IEEE Trans. Power Syst., issue 14(3), pp. 851 857.