Forecasting the electricity generation of photovoltaic plants

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dc.contributor.authorKuievda, Yulia
dc.contributor.authorBaliuta, Serhii
dc.contributor.authorZinkevych, Petro
dc.contributor.authorStoliarov, Oleksandr
dc.date.accessioned2023-12-14T10:13:05Z
dc.date.available2023-12-14T10:13:05Z
dc.date.issued2021
dc.description.abstractIt was calculated the table of dependence of RMSE, MAE and NMAE errors on the number of input membership functions and their forms for training, test and the whole sample. The number of input membership functions varied from 2 to 30, and the type of membership functions was chosen from the set (MATLAB notation): gbellmf, gaussmf, gauss2mf, trimf, trapmf, dsigmf, psigmf, pimf. To determine the optimal number and form of membership functions, the NMAE error of the test sample was used, which was calculated to be in the range from 3.92% to 4.15%. A minimum was achieved on 5 triangular trimf membership functions. The model was tested for sensitivity to the error of the input data using the chosen optimal number and the form of membership functions. A generated random sequence was added to the input data, which added an NMAE error of 1.81% to 8.19% to the input data. The NMAE error of the initial data in the test sample varied from 4.19% to 5.78%, i.e. the model studies showed a sufficiently low level of variation in the output values relative to the error of the input data.uk_UA
dc.identifier.citationForecasting the electricity generation of photovoltaic plants / Iu. Kuevda, S. Baliuta, P. Zinkevich, O. Stoliarov // Actual problems of renewable energy, construction and environmental engineering : VI International Scientific-Technical Conference, 24-27 November 2022, Kielce (Poland, Ukraine, Croatia, Slovakia, Lithuania). – Kielce, 2022. – Pp. 37-38
dc.identifier.urihttps://dspace.nuft.edu.ua/handle/123456789/41770
dc.language.isoen
dc.subjectANFIS
dc.subjectRES
dc.subjectforecast
dc.subjectANN
dc.subjectпрогноз
dc.subjectкафедра електропостачання і енергоменеджменту
dc.titleForecasting the electricity generation of photovoltaic plantsuk_UA
dc.typeThesisuk_UA

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