A review of wind speed and wind power forecasting with deep neural networks
The use of wind power, a pollution-free and renewable form of energy, to generate electricity
has attracted increasing attention. However, intermittent electricity generation resulting from …
has attracted increasing attention. However, intermittent electricity generation resulting from …
[HTML][HTML] Deep learning in computer vision: A critical review of emerging techniques and application scenarios
Deep learning has been overwhelmingly successful in computer vision (CV), natural
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
language processing, and video/speech recognition. In this paper, our focus is on CV. We …
Forecasting monthly gas field production based on the CNN-LSTM model
W Zha, Y Liu, Y Wan, R Luo, D Li, S Yang, Y Xu - Energy, 2022 - Elsevier
Accurate prediction of gas field production is an important task for reservoir engineers, which
is challenging due to many unknown reservoir parameters. Aiming to have a low-cost …
is challenging due to many unknown reservoir parameters. Aiming to have a low-cost …
Modified aquila optimizer for forecasting oil production
MAA Al-qaness, AA Ewees, H Fan… - Geo-Spatial …, 2022 - Taylor & Francis
Oil production estimation plays a critical role in economic plans for local governments and
organizations. Therefore, many studies applied different Artificial Intelligence (AI) based …
organizations. Therefore, many studies applied different Artificial Intelligence (AI) based …
Multi-scale and multi-layer perceptron hybrid method for bearings fault diagnosis
S Xie, Y Li, H Tan, R Liu, F Zhang - International Journal of Mechanical …, 2022 - Elsevier
The progressive growth in demand and requirements for bearing problem diagnostics in the
operating segment of trains has resulted from an increase in train speed and the …
operating segment of trains has resulted from an increase in train speed and the …
Data-driven deep-learning forecasting for oil production and pressure
R de Oliveira Werneck, R Prates, R Moura… - Journal of Petroleum …, 2022 - Elsevier
Production forecasting plays an important role in oil and gas production, aiding engineers to
perform field management. However, this can be challenging for complex reservoirs such as …
perform field management. However, this can be challenging for complex reservoirs such as …
Evaluating the applications of dendritic neuron model with metaheuristic optimization algorithms for crude-oil-production forecasting
The forecasting and prediction of crude oil are necessary in enabling governments to
compile their economic plans. Artificial neural networks (ANN) have been widely used in …
compile their economic plans. Artificial neural networks (ANN) have been widely used in …
Network analysis of price comovements among corn futures and cash prices
X Xu, Y Zhang - Journal of Agricultural & Food Industrial …, 2024 - degruyter.com
Due to significant implications for resource and food sectors that directly influence social
well-being, commodity price comovements represent an important issue in agricultural …
well-being, commodity price comovements represent an important issue in agricultural …
[HTML][HTML] Network analysis of corn cash price comovements
X Xu, Y Zhang - Machine Learning with Applications, 2021 - Elsevier
Commodity price comovements are an important issue in economics given their significant
implications for food and resource sectors that directly influence social well-being. This study …
implications for food and resource sectors that directly influence social well-being. This study …
Transfer learning with recurrent neural networks for long-term production forecasting in unconventional reservoirs
Robust production forecasting allows for optimal resource recovery through efficient field
management strategies. In hydraulically fractured unconventional reservoirs, the physics of …
management strategies. In hydraulically fractured unconventional reservoirs, the physics of …