Short-term integrated forecasting method for wind power, solar power, and system load based on variable attention mechanism and multi-task learning
H Wang, J Yan, J Zhang, S Liu, Y Liu, S Han, T Qu - Energy, 2024 - Elsevier
Improving the forecasting accuracy of wind power, solar power, and system load to support
the source-load cooperative dispatch is an important direction to reduce the uncertainty at …
the source-load cooperative dispatch is an important direction to reduce the uncertainty at …
Short-term PV-Wind forecasting of large-scale regional site clusters based on FCM clustering and hybrid Inception-ResNet embedded with Informer
D Peng, Y Liu, D Wang, L Luo, H Zhao, B Qu - Energy Conversion and …, 2024 - Elsevier
In order to cope with the challenge that the high proportion of new energy generation for the
stable operation of the power grid, this paper proposes an innovative short-term power …
stable operation of the power grid, this paper proposes an innovative short-term power …
A novel information enhanced Grey Lotka–Volterra model driven by system mechanism and data for energy forecasting of WEET project in China
T Duan, H Guo, X Qi, M Sun, J Forrest - Energy, 2024 - Elsevier
Diversified energy power generation is a critical component of China's West-to-East
Electricity Transmission (WEET) project and a key driver of China's clean energy strategy …
Electricity Transmission (WEET) project and a key driver of China's clean energy strategy …
Self-attention mechanism to enhance the generalizability of data-driven time-series prediction: A case study of intra-hour power forecasting of urban distributed …
The emergence of small-scale urban distributed solar generation (DSG) has urged the
exploration of site-adaptive forecasting models designed to accurately predict future power …
exploration of site-adaptive forecasting models designed to accurately predict future power …
[HTML][HTML] Robust autoregressive bidirectional gated recurrent units model for short-term power forecasting
Y Yang, Z Wang, S Zhao, H Zhou, J Wu - Engineering Applications of …, 2024 - Elsevier
Accurate short-term power forecasting (STPF) provides reliable support for the stable
operation of power systems. However, due to the randomness of consumer behavior and …
operation of power systems. However, due to the randomness of consumer behavior and …
A novel hybrid BWO-BiLSTM-ATT framework for accurate offshore wind power prediction
A Wan, S Peng, ALB Khalil, Y Ji, S Ma, F Yao, L Ao - Ocean Engineering, 2024 - Elsevier
Accurate wind power forecasting is pivotal in facilitating the efficient integration of renewable
energy sources into existing power grids. This study proposes a novel hybrid framework …
energy sources into existing power grids. This study proposes a novel hybrid framework …
Non-stationary GNNCrossformer: Transformer with graph information for non-stationary multivariate Spatio-Temporal wind power data forecasting
X Wu, H Zhan, J Hu, Y Wang - Applied Energy, 2025 - Elsevier
The spatiotemporal prediction of wind power is of great significance for the grid connected
operation of multiple wind farms in the wind power system. However, due to the complex …
operation of multiple wind farms in the wind power system. However, due to the complex …
[HTML][HTML] Adaptive expert fusion model for online wind power prediction
Wind power prediction is a challenging task due to the high variability and uncertainty of
wind generation and weather conditions. Accurate and timely wind power prediction is …
wind generation and weather conditions. Accurate and timely wind power prediction is …
Self-supervised dynamic stochastic graph network for spatio-temporal wind speed forecasting
Spatio-temporal Forecasting has been implemented in diverse fields, such as energy, traffic,
and weather. As one typical paradigm of intelligent power systems, spatio-temporal wind …
and weather. As one typical paradigm of intelligent power systems, spatio-temporal wind …
Thermo-economic optimization on a combined heat and power system with supercritical Rankine cycle for power-to-heat batteries
W Hu, M Liu, Y Lei, J Yan - Applied Thermal Engineering, 2024 - Elsevier
The global energy structure is transforming to low-carbon, and it is urgent to construct a
sustainable energy system mainly based on renewables. The power-to-heat batteries …
sustainable energy system mainly based on renewables. The power-to-heat batteries …