Journal article

Forecasting Electricity Generation From Renewable Sources In Developing Countries (On The Example Of Ukraine)

Year:

2021

Published in:

Neuro-Fuzzy Modeling Techniques in Economics
alternative energy
forecasting
Prophet model
neural network autoregression

Electricity generation forecasting is a common task that helps power generating companies plan capacity, minimize costs, and detect anomaly. Despite its importance, there are serious challenges associated with obtaining reliable and high-quality forecasts, especially when it comes to the newly created renewable electricity market.

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Comparison Of Machine Learning Methods For Emotional Analysis

Publisher: Taras Shevchenko National University of Kyiv

Authors: Ihor Miroshnychenko, Vladyslav Pelishenko

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Комплекс Моделей Оцінювання Інвестиційного Потенціалу Країни

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Authors: Ihor Miroshnychenko

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Publisher: Scientific Perspectives

Authors: Ihor Miroshnychenko, Isus Raichuk

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Stock Price Forecasting Using Artificial Neural Networks

Publisher: Taras Shevchenko National University of Kyiv

Authors: Ihor Miroshnychenko, Yurii Levchenko

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Information Analytics For Forming And Supporting Productive Habits

Publisher: Taras Shevchenko National University of Kyiv

Authors: Ihor Miroshnychenko, Maxim Suprunenko

2022
Journal article

Прогнозування Банкрутства Підприємства За Допомогою Алгоритмів Машинного Навчання

Publisher: Інвестиції: практика та досвід

Authors: Ihor Miroshnychenko, Vladyslav Krupin

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Neuro‑Fuzzy Model Of Country's Investment Potential Assessment

Publisher: SIGEF

Authors: Ihor Miroshnychenko, A. Matviychuk, Oleksandr Lukianenko

2025
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Evolving Russian Cyber Attacks: Key Trends And Strategic Defense Solutions For 2024

Publisher: Taras Shevchenko National University of Kyiv

Authors: Maksym Borysenko, Ihor Miroshnychenko