[HTML][HTML] Accurate Forecasting of Global Horizontal Irradiance in Saudi Arabia: A Comparative Study of Machine Learning Predictive Models and Feature Selection …
The growing interest in solar energy stems from its potential to reduce greenhouse gas
emissions. Global horizontal irradiance (GHI) is a crucial determinant of the productivity of …
emissions. Global horizontal irradiance (GHI) is a crucial determinant of the productivity of …
The key to green water-preserved mining: Prediction and integration of mining rock failure height by big data fusion simulation algorithm
Y Li, H Yin, F Dong, W Cheng, N Zhuang, D **e… - Process Safety and …, 2025 - Elsevier
Under the background of China's" double carbon" goal, coal mining must become a
systematic project that takes into account both economic strategy and environmental …
systematic project that takes into account both economic strategy and environmental …
[HTML][HTML] Electric Vehicle charging station load forecasting with an integrated DeepBoost approach
Abstract The emission of Greenhouse Gases (GHGs) is the main cause of climate change
and the transportation sector, especially in urban areas, is among the major contributors to …
and the transportation sector, especially in urban areas, is among the major contributors to …
[HTML][HTML] An Improved Multi-Threshold Clutter Filtering Algorithm for W-Band Cloud Radar Based on K-Means Clustering
Z Shi, L Huang, F Wu, Y Lei, H Wang, Z Tang - Remote Sensing, 2024 - mdpi.com
This study investigates the application of an improved multi-threshold method based on the
K-means algorithm for clutter filtering in W-band cloud and fog radar observations. Utilizing …
K-means algorithm for clutter filtering in W-band cloud and fog radar observations. Utilizing …
A Novel Approach for Forecasting and Scheduling Building Load through Real-Time Occupant Count Data
The smart buildings' load forecasting is necessary for efficient energy management, and it is
easily possible because of the data availability based on widespread use of Internet of …
easily possible because of the data availability based on widespread use of Internet of …
Medium-term load forecasting with power market survey: Gepco case study
S Maryam, U Ahmed, A Amin, SAH Shah… - Academia Green …, 2024 - academia.edu
This research presents a comprehensive case study on medium-term load forecasting
(MTLF) in the intricate dynamics of Pakistan's power sector, Gujranwala Electric Power …
(MTLF) in the intricate dynamics of Pakistan's power sector, Gujranwala Electric Power …
[PDF][PDF] An Improved Multi-Threshold Data Quality Control Algorithm for W-Band Cloud Radar Based on K-means Clustering
Z Shi, LJ Huang, F Wu, Y Lei, H Wang, Z Tang - 2024 - preprints.org
This study investigates the application of an improved multi-threshold method based on the
K-means algorithm for clutter filtering in W-band cloud and fog radar observations. Utilizing …
K-means algorithm for clutter filtering in W-band cloud and fog radar observations. Utilizing …
[PDF][PDF] Economic Value Creation of Artificial Intelligence in Supporting Variable Renewable Energy Integration: A Systematic Review of Power System Applications
This systematic review aims to elucidate the economic value creation of Artificial Intelligence
(AI) in supporting the integration of Variable Renewable Energy (VRE) sources into power …
(AI) in supporting the integration of Variable Renewable Energy (VRE) sources into power …