The rise of the polarimetric Kalman filter: a bibliometric study on its growing significance
This paper presents a comprehensive study on the evolution, applications, and impact of the
Polarimetric Kalman Filter (PKF) in the fields of signal processing and remote sensing. By …
Polarimetric Kalman Filter (PKF) in the fields of signal processing and remote sensing. By …
Analysis of the extended Kalman filter's role in oceanic science
K Obaideen, M AlShabi… - Ocean Sensing and …, 2024 - spiedigitallibrary.org
This study delves into the Extended Kalman Filter's (EKF) use in ocean science through a
detailed bibliometric and text mining examination. Tracing its roots back to the original …
detailed bibliometric and text mining examination. Tracing its roots back to the original …
[PDF][PDF] Short-Term Household Load Forecasting Based on Attention Mechanism and CNN-ICPSO-LSTM.
L Ma, L Wang, S Zeng, Y Zhao, C Liu… - Energy …, 2024 - cdn.techscience.cn
Accurate load forecasting forms a crucial foundation for implementing household demand
response plans and optimizing load scheduling. When dealing with short-term load data …
response plans and optimizing load scheduling. When dealing with short-term load data …
Multi-step Short-term Load Forecasting Based on Attention Mechanism, TCN-BiLSTM Network and Decomposition-based Error Correction
Y Yi, Z Huang, M Bao, X Li, S Lou - 2024 7th Asia Conference …, 2024 - ieeexplore.ieee.org
Aiming at the problems of regional-level power load forecasting accuracy and efficiency, this
paper proposes a multi-step short-term load forecasting model based on attention mech …
paper proposes a multi-step short-term load forecasting model based on attention mech …
The Use of Markov Chain Models for the Prediction of Power Demand and Market Share in Retail Electricity Markets
W Zhang, C Ji, Y Hao, H Cheng, Y Cao… - Proceedings of the 6th …, 2023 - dl.acm.org
Retail electricity markets are highly complex, and fluctuations in market share and electricity
demand among suppliers have important implications for market participants and policy …
demand among suppliers have important implications for market participants and policy …
Research on Long-Term Electricity Demand Forecasting Based on WOA-BP
Y Hong, F Liu, Z Chen, X Li… - 2023 6th International …, 2023 - ieeexplore.ieee.org
Power supply and demand balance is a vital prerequisite for boosting economic
development and raising people's living standards, and precise forecasting of power …
development and raising people's living standards, and precise forecasting of power …
Time Series Analysis for Low Energy Data Aggregation Using Extended Kalman Filtering
R Gupta, GK Rajput… - … on Optimization Computing …, 2024 - ieeexplore.ieee.org
This paper provides a unique low electricity facts aggregation method utilizing the Extended
Kalman Filtering (EKF) algorithm. Using time-collection evaluation on low energy facts …
Kalman Filtering (EKF) algorithm. Using time-collection evaluation on low energy facts …