Review on the application of photovoltaic forecasting using machine learning for very short-to long-term forecasting
PNL Mohamad Radzi, MN Akhter, S Mekhilef… - Sustainability, 2023 - mdpi.com
Advancements in renewable energy technology have significantly reduced the consumer
dependence on conventional energy sources for power generation. Solar energy has …
dependence on conventional energy sources for power generation. Solar energy has …
A review of state-of-the-art and short-term forecasting models for solar pv power generation
WC Tsai, CS Tu, CM Hong, WM Lin - Energies, 2023 - mdpi.com
Accurately predicting the power produced during solar power generation can greatly reduce
the impact of the randomness and volatility of power generation on the stability of the power …
the impact of the randomness and volatility of power generation on the stability of the power …
Hybrid model for short-term wind power forecasting based on singular spectrum analysis and a temporal convolutional attention network with an adaptive receptive …
Z Shao, J Han, W Zhao, K Zhou, S Yang - Energy Conversion and …, 2022 - Elsevier
Accurate and robust short-term wind power forecasting (WPF) is of great significance to
enhance the rate of renewable energy utilization in power systems and to promote low …
enhance the rate of renewable energy utilization in power systems and to promote low …
Hybrid Inception-embedded deep neural network ResNet for short and medium-term PV-Wind forecasting
Accurate and consistent forecasting of regional wind power is essential for efficient
scheduling and maximizing the utilization of renewable energy in the power grid. Medium …
scheduling and maximizing the utilization of renewable energy in the power grid. Medium …
Regional wind-photovoltaic combined power generation forecasting based on a novel multi-task learning framework and TPA-LSTM
Y Chen, JW Xiao, YW Wang, Y Li - Energy Conversion and Management, 2023 - Elsevier
Existing renewable power generation forecasting methods mainly focus on a single energy
source and fail to effectively capture the spatio-temporal correlation between different power …
source and fail to effectively capture the spatio-temporal correlation between different power …
Solar power generation forecasting by a new hybrid cascaded extreme learning method with maximum relevance interaction gain feature selection
G Memarzadeh, F Keynia - Energy Conversion and Management, 2023 - Elsevier
Today, renewable energies have a key role in sustainable and clean power generation. On
the other hand, solar energy is available in most regions in developing economies …
the other hand, solar energy is available in most regions in developing economies …
A non-intrusive carbon emission accounting method for industrial corporations from the perspective of modern power systems
Accurate and timely carbon emission accounting (CEA) is vital to industrial corporations,
especially those who participate in the carbon market. With the rapid development of …
especially those who participate in the carbon market. With the rapid development of …
Multi-timescale optimization scheduling of regional integrated energy system based on source-load joint forecasting
X Ma, B Peng, X Ma, C Tian, Y Yan - Energy, 2023 - Elsevier
The uncertainty of renewable energy output randomness and multiple load demand
uncertainty significantly increases the complexity of optimization and scheduling in regional …
uncertainty significantly increases the complexity of optimization and scheduling in regional …
BiLSTM-InceptionV3-Transformer-fully-connected model for short-term wind power forecasting
L Yin, Y Sun - Energy Conversion and Management, 2024 - Elsevier
Accurate short-term wind power prediction can help grid managers optimize the
transmission and storage of electricity from wind farms, avoiding energy wastage and …
transmission and storage of electricity from wind farms, avoiding energy wastage and …
Hybrid model based on K-means++ algorithm, optimal similar day approach, and long short-term memory neural network for short-term photovoltaic power prediction
R Bai, Y Shi, M Yue, X Du - Global Energy Interconnection, 2023 - Elsevier
Photovoltaic (PV) power generation is characterized by randomness and intermittency due
to weather changes. Consequently, large-scale PV power connections to the grid can …
to weather changes. Consequently, large-scale PV power connections to the grid can …