Deep learning-based fault diagnosis of photovoltaic systems: A comprehensive review and enhancement prospects
Photovoltaic (PV) systems are subject to failures during their operation due to the aging
effects and external/environmental conditions. These faults may affect the different system …
effects and external/environmental conditions. These faults may affect the different system …
A review of machine learning-based photovoltaic output power forecasting: Nordic context
Motivated by factors such as the reduction in cost and the need for a shift towards achieving
UN's Sustainable Development Goals, PV (Photovoltaic) power generation is getting more …
UN's Sustainable Development Goals, PV (Photovoltaic) power generation is getting more …
Hydrogen energy storage systems to improve wind power plant efficiency considering electricity tariff dynamics
NG Kiryanova, PV Matrenin, SV Mitrofanov… - International Journal of …, 2022 - Elsevier
One of the limitations of the efficiency of renewable energy sources is the stochastic nature
of generation; consequently, it is necessary to use high-capacity energy storage systems …
of generation; consequently, it is necessary to use high-capacity energy storage systems …
Ultra-short-term photovoltaic power prediction based on similar day clustering and temporal convolutional network with bidirectional long short-term memory model: A …
Due to its strong dependence on weather conditions, photovoltaic (PV) power is highly
intermittent in nature. In light of this, this paper introduces a PV power prediction model …
intermittent in nature. In light of this, this paper introduces a PV power prediction model …
Prediction of Solar Energy Yield Based on Artificial Intelligence Techniques for the Ha'il Region, Saudi Arabia
In order to satisfy increasing energy demand and mitigate global warming worldwide, the
implementation of photovoltaic (PV) clean energy installations needs to become common …
implementation of photovoltaic (PV) clean energy installations needs to become common …
Solar Irradiance Forecasting with Natural Language Processing of Cloud Observations and Interpretation of Results with Modified Shapley Additive Explanations
PV Matrenin, VV Gamaley, AI Khalyasmaa… - Algorithms, 2024 - mdpi.com
Forecasting the generation of solar power plants (SPPs) requires taking into account
meteorological parameters that influence the difference between the solar irradiance at the …
meteorological parameters that influence the difference between the solar irradiance at the …
Improving of the Generation Accuracy Forecasting of Photovoltaic Plants Based on k-Means and k-Nearest Neighbors Algorithms
PV Matrenin, AI Khalyasmaa, VV Gamaley… - 2023 - elar.urfu.ru
Renewable energy sources (RES) are seen as a means of the fuel and energy complex
carbon footprint reduction but the stochastic nature of generation complicates RES …
carbon footprint reduction but the stochastic nature of generation complicates RES …
Averaged errors as a risk factor for intelligent forecasting systems operation in the power industry
A Khalyasmaa, P Matrenin… - 2021 Ural-Siberian …, 2021 - ieeexplore.ieee.org
The paper discusses the operational risk in intelligent systems for forecasting time series.
Typically, when developing and testing regression models based on machine learning, their …
Typically, when developing and testing regression models based on machine learning, their …
[HTML][HTML] Исследование ансамблевых и нейросетевых методов машинного обучения в задаче краткосрочного прогнозирования электропотребления горных …
ДВ Антоненков, ПВ Матренин - Электротехнические системы и …, 2021 - cyberleninka.ru
В статье рассмотрена проблема прогнозирования электропотребления горных
предприятий, особенностью которого является высокий уровень нестационарности и …
предприятий, особенностью которого является высокий уровень нестационарности и …
Machine learning-based intelligent weather modification forecast in smart city potential area
Z Chao - Computer Science and Information Systems, 2023 - doiserbia.nb.rs
It is necessary to improve the efficiency of meteorological service monitoring in smart cities
and refine the prediction of extreme weather in smart cities continuously. Firstly, this paper …
and refine the prediction of extreme weather in smart cities continuously. Firstly, this paper …