Advanced and Complex Energy Systems Monitoring and Control: A Review on Available Technologies and Their Application Criteria
Complex energy monitoring and control systems have been widely studied as the related
topics include different approaches, advanced sensors, and technologies applied to a …
topics include different approaches, advanced sensors, and technologies applied to a …
A review on machine learning applications for solar plants
E Engel, N Engel - Sensors, 2022 - mdpi.com
A solar plant system has complex nonlinear dynamics with uncertainties due to variations in
system parameters and insolation. Thereby, it is difficult to approximate these complex …
system parameters and insolation. Thereby, it is difficult to approximate these complex …
A machine learning approach for solar power technology review and patent evolution analysis
Solar power systems and their related technologies have developed into a globally utilized
green energy source. Given the relatively high installation costs, low conversion rates and …
green energy source. Given the relatively high installation costs, low conversion rates and …
Design and operation of hybrid ground source heat pump systems: A review
JL Wang, T Yan, X Tang, WG Pan - Energy, 2025 - Elsevier
Ground source heat pump (GSHP) technology as an efficient and environmentally friendly
solution for heating and cooling systems has gained widespread attention. However, issues …
solution for heating and cooling systems has gained widespread attention. However, issues …
Distributed online energy management in interconnected microgrids
In this article, a hierarchical online distributed algorithm (HODA) is developed to achieve
optimal energy management in interconnected microgrids (IMG). The energy management …
optimal energy management in interconnected microgrids (IMG). The energy management …
[HTML][HTML] Predicting Energy Production in Renewable Energy Power Plants Using Deep Learning
A Karakan - Energies, 2024 - mdpi.com
It is very important to analyze and forecast energy production for investments in renewable
energy resources. In this study, the energy production of wind and solar power plants, which …
energy resources. In this study, the energy production of wind and solar power plants, which …
Методы машинного обучения для задач прогнозирования и максимизации выработки электроэнергии солнечной электростанции
ЕА Энгель, НЕ Энгель - Вестник ВГУ. Серия: Системный анализ и …, 2023 - journals.vsu.ru
Системы прогнозирования и максимизации выработки электроэнергии солнечной
электростанции на основе методов машинного обучения повышают эффективность …
электростанции на основе методов машинного обучения повышают эффективность …
Model‐agnostic online forecasting for PV power output
A reliable forecasting model is required for photovoltaic (PV) power output because solar
energy is highly volatile. Another driver for the need of a reliable forecasting model is …
energy is highly volatile. Another driver for the need of a reliable forecasting model is …
[HTML][HTML] Система непрямого прогнозирования вырабатываемой электроэнергии массивом солнечных панелей на основе модифицированной нечеткой …
ЕА Энгель, НЕ Энгель - Журнал Сибирского федерального …, 2023 - cyberleninka.ru
Интеллектуальные системы прогнозирования вырабатываемой электроэнергии
массивом солнечных панелей повышают эффективность солнечной электростанции и …
массивом солнечных панелей повышают эффективность солнечной электростанции и …
A hybrid energy-saving prediction model based on SSA-DNN for district heating system
M Gong, J Sun, Y Zhao, C Han, B Yan… - Advances in Building …, 2023 - Taylor & Francis
Accurate heat load prediction is a prerequisite for feed-forward control and on-demand heat
supply in district heating system. However, considering that the experimental data used to …
supply in district heating system. However, considering that the experimental data used to …