A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China
H Shi, A Wei, X Xu, Y Zhu, H Hu, S Tang - Journal of Environmental …, 2024 - Elsevier
Accurately predicting carbon trading prices using deep learning models can help
enterprises understand the operational mechanisms and regulations of the carbon market …
enterprises understand the operational mechanisms and regulations of the carbon market …
Advanced data augmentation techniques coupled with enhanced particle swarm optimization for predicting total phosphorus concentrations in limited transmission …
G Zhang, C Wang, H Wang, T Yu - Journal of Water Process Engineering, 2024 - Elsevier
Accurate prediction of total phosphorus concentration in water bodies is crucial for effective
water pollution control and management. However, obtaining real-world water samples …
water pollution control and management. However, obtaining real-world water samples …
Enhancing Neonatal Incubator Energy Management and Monitoring through IoT-Enabled CNN-LSTM Combination Predictive Model
This research focuses on enhancing neonatal care by developing a comprehensive
monitoring and control system and an efficient model for predicting electrical energy …
monitoring and control system and an efficient model for predicting electrical energy …
A Novel Approach to Optimize Energy Consumption in Industries Using IIoT and Machine Learning
RK Yadav, PS Rajendran - 2024 International Conference on …, 2024 - ieeexplore.ieee.org
Managing Electrical Energy has become crucial nowadays where everything we use works
on electrical energy. Utilizing energy in an efficient and effective way can save a lot of …
on electrical energy. Utilizing energy in an efficient and effective way can save a lot of …
Smart Home Energy Prediction Framework Using Temporal Kolmogorov-Arnold Transformer
L Yao, V Vijayananth, T Perumal - Available at SSRN 5041857 - papers.ssrn.com
With the increasing global demand for energy, accurately predicting energy consumption
has become crucial for efficient resource management and sustainable development …
has become crucial for efficient resource management and sustainable development …