[HTML][HTML] Probabilistic forecasting of multiple plant day-ahead renewable power generation sequences with data privacy preserving
H Liu, Z Zhang - Energy and AI, 2025 - Elsevier
This paper studies the renewable power forecasting task with a more advanced formulation,
the probabilistic forecasts of day-ahead power generation sequences of multiple renewable …
the probabilistic forecasts of day-ahead power generation sequences of multiple renewable …
Mushroom Species Classification in Natural Habitats Using Convolutional Neural Networks (CNN)
Mushrooms are known for their significant nutritional value and are essential to the human
diet. However, the dilemmas associated with ingesting poisonous mushroom species stress …
diet. However, the dilemmas associated with ingesting poisonous mushroom species stress …
Machine Learning and Fog Computing Enabled Sensor Drift Management in Precision Agriculture
Despite tremendous improvements in sensing mechanisms at the hardware level, sensor
drift is still an issue for reliable Internet of Things (IoT) applications. Existing literature is …
drift is still an issue for reliable Internet of Things (IoT) applications. Existing literature is …
Evaluating Machine Learning and Deep Learning models for predicting Wind Turbine power output from environmental factors
M Abdelsattar, M A. Ismeil, K Menoufi, A AbdelMoety… - PloS one, 2025 - journals.plos.org
This study presents a comprehensive comparative analysis of Machine Learning (ML) and
Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on …
Deep Learning (DL) models for predicting Wind Turbine (WT) power output based on …
The short-term wind power prediction based on a multi-layer stacked model of BOCNN-BiGRU-SA
W Chen, H Huang, X Ma, X Xu, Y Guan, G Wei… - Digital Signal …, 2025 - Elsevier
Wind power generation is influenced by various meteorological factors, exhibiting significant
volatility and unpredictability. This variability presents considerable challenges for accurate …
volatility and unpredictability. This variability presents considerable challenges for accurate …
Machine Learning-based Prediction of African Swine Fever (ASF) in Pigs
RM Nadeem, MTT Bajwa, M Mahmood… - VFAST Transactions on …, 2024 - vfast.org
Abstract African Swine Fever (ASF) is a contiguous viral disease of the pig with serious
economic threats to the pork industry. Early identification of ASF infection is important to …
economic threats to the pork industry. Early identification of ASF infection is important to …