Hybrid VMD-CNN-GRU-based model for short-term forecasting of wind power considering spatio-temporal features

Z Zhao, S Yun, L Jia, J Guo, Y Meng, N He, X Li… - … Applications of Artificial …, 2023 - Elsevier
Accurate and reliable short-term forecasting of wind power is vital for balancing energy and
integrating wind power into a grid. A novel hybrid deep learning model is designed in this …

Machine learning-based anomaly detection of groundwater microdynamics: case study of Chengdu, China

H Shi, J Guo, Y Deng, Z Qin - Scientific Reports, 2023 - nature.com
Detection of subsurface hydrodynamic anomalies plays a significant role in groundwater
resource management and environmental monitoring. In this paper, based on data from the …

[HTML][HTML] Enhancing spatial resolution of GRACE-derived groundwater storage anomalies in Urmia catchment using machine learning downscaling methods

F Sabzehee, AR Amiri-Simkooei, S Iran-Pour… - Journal of …, 2023 - Elsevier
The Urmia lake in north-west Iran has dried up to perilously low levels in the past two
decades. In this study, we investigate the drivers behind the decline in lake water level with …

[HTML][HTML] LSTM-based deformation prediction model of the embankment dam of the danjiangkou hydropower station

S Wang, B Yang, H Chen, W Fang, T Yu - Water, 2022 - mdpi.com
The Danjiangkou hydropower station is a water source project for the middle line of the
South-to-North Water Transfer Project in China. The dam is composed of riverbed concrete …

Identification and analysis of areas prone to conflict with wild boar (Sus scrofa) in the vineyards of Malayer County, western Iran

P Karami, S Tavakoli - Ecological Modelling, 2022 - Elsevier
Boars with high reproduction, wide distribution, and adaptability have great potential to
conflict with human interests. Malayer County, in Hamedan Province, is one of the economic …

[HTML][HTML] Study on frost damage index and hazard assessment of wheat in the Huanghuaihai region

J Xu, J Zhang, X Wei, F Zhi, Y Zhao, Y Guo, S Wei… - Ecological …, 2024 - Elsevier
In order to mitigate spring frost damage to wheat in the Huanghuaihai region, this paper
developed a combined frost index (CFI) based on daily meteorological observations …

The change in concentration of ochratoxin A and antioxidant capacity during the production of grape juice

M Behfar, A Heshmati, AM Mortazavian… - Journal of Food …, 2024 - Elsevier
Ochratoxin A (OTA), a dangerous fungal toxin, has widely contaminated grapes and its by-
products. To estimate dietary intake, information about OTA behavior during processing is …

Cascade hydropower station risk operation under the condition of inflow uncertainty

K Lei, J Chang, R Long, Y Wang, H Zhang - Energy, 2022 - Elsevier
Runoff is an important basis for the operation of hydropower. However, due to inflow
uncertainty, the ideal practical operation process usually doesn't match with the plan, which …

Assessing the algal population dynamics using multiple machine learning approaches: Application to Macao reservoirs

Z Li, SN Chio, L Gao, P Zhang - Journal of Environmental Management, 2023 - Elsevier
The quality of reservoir water is important to the health and wellbeing of human and animals.
Eutrophication is one of the most serious problems threatening the safety of reservoir water …

[HTML][HTML] Estimation of frost hazard for tea tree in Zhejiang province based on machine learning

J Xu, S Guga, G Rong, D Riao, X Liu, K Li, J Zhang - Agriculture, 2021 - mdpi.com
Tea trees are the main economic crop in Zhejiang Province. However, spring cold is a
frequent occurrence there, causing frost damage to the valuable tea buds. To address this, a …