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An analysis of dynamics of a change in the electricity intensity of the economy of the country and eastern regions and the forecasting of electricity consumption in the long term

Korneev A. An analysis of dynamics of a change in the electricity intensity of the economy of the country and eastern regions and the forecasting of electricity consumption in the long term // E3S Web of Conferences. Vol.58. ID: 01013. 2018. DOI: 10.1051/e3sconf/20185801013 The paper presents a retrospective analysis of the trends towards changes in the electricity in-tensity of the ...

Теги: economics , forecasting , eastern regions , economic development , electricity intensities , electricity-consumption , retrospective analysis , electric power utilization
Раздел: ИСЭМ СО РАН
Ontology-based decision support system for forecasting of energy infrastructure development

Kopaygorodsky A. Ontology-based decision support system for forecasting of energy infrastructure development // RPC 2018 - Proceedings of the 3rd Russian-Pacific Conference on Computer Technology and Applications. ID: 8482172. 2018. ISBN (print): 9781538675311. DOI: 10.1109/RPC.2018.8482172 This article reports ...

Теги: energy infrastructure development forecasting , expert decision support , knowledge management , ontology , artificial intelligence , computer software , forecasting , decision supports , energy infrastructures , expert knowledge , hybrid approach , intelligent info
Раздел: ИСЭМ СО РАН
METHODOLOGICAL ASPECTS OF THE MATHEMATICAL MODELLING OF LONG-TERM ENERGY DEVELOPMENT PROGRAMMES.

Melentyev L.A., Makarov A.A., Gershenzon M.A., Makarova A.S., Papin A.A. METHODOLOGICAL ASPECTS OF THE MATHEMATICAL MODELLING OF LONG-TERM ENERGY DEVELOPMENT PROGRAMMES. // Proc. of the Energy Modelling Studies and Conservation, Proceedings of a Seminar of the United Nations Economic Commission for Europe. 1982. ISBN (print): 0080274161. [No abstract available] нет

Теги: abstract only , computer simulation , economic variables , energy conservation , energy development program , forecasting , energy utilization
Раздел: ИСЭМ СО РАН
Short-term wind power forecasting based on T-S fuzzy model

Liu F., Li R., Li Y. et al. Short-term wind power forecasting based on T-S fuzzy model // Asia-Pacific Power and Energy Engineering Conference, APPEEC. Vol.Decem. 2016. P.414-418. ISBN 9781509054183. DOI: 10.1109/APPEEC.2016.7779537. Due to the impacts of wind speed, wind direction, temperature and ...

Теги: fuzzy c-means (fcm) , recursive least squares method (rls) , t-s fuzzy model , wind power forecasting , clustering algorithms , forecasting , fuzzy systems , least squares approximations , signal processing , support vector machines , wind , wind effects , wind power
Раздел: ИСЭМ СО РАН
Forecasting the Total Transfer Capability of Intersystem Lines for On-line Control of Electric Power System Operation

Glazunova A.M., Aksaeva E.S., Semshchikov E.S. Forecasting the Total Transfer Capability of Intersystem Lines for On-line Control of Electric Power System Operation // IFAC-PapersOnLine. Vol.49. No.27. 2016. P.455-460. DOI: 10.1016/j.ifacol.2016.10.775 The paper develops a technique of total transfer ...

Теги: electric lines , electric power systems , forecasting , measurements , neural networks , state estimation , dynamic state estimation , estimation program , on-line controls , operation constraint , optimal resu
Раздел: ИСЭМ СО РАН
Forecasting of available transfer capability in intersystem transmission lines

Glazunova A.M., Aksaeva E.S., Semshchikov E.S. Forecasting of available transfer capability in intersystem transmission lines // 2016 IEEE International Energy Conference, ENERGYCON 2016. 1 p. ISBN (print): 9 781 467 . DOI: 10.1109/ENERGYCON.2016.7514127 The paper develops a technique of available ...

Теги: electric power systems , forecasting , measurements , neural networks , available transfer capability , dynamic state estimation , intersystem , real time , state estimators , state variables , total transfer c
Раздел: ИСЭМ СО РАН
Способы повышения эффективности долгосрочных прогнозов ТЭК

Кононов Ю.Д., Кононов Д.Ю. Способы повышения эффективности долгосрочных прогнозов ТЭК // Энергетическая политика. №1. 2013. C.53-60.

Теги: прогнозирование , энергетика , экономика , неопределенность , риски , моделирование , forecasting , energy sector , economy , uncertainty , risks , modeling
Раздел: ИСЭМ СО РАН


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