Productivity prediction of a multilateral-well geothermal system based on a long short-term memory and multi-layer perceptron combinational neural network

Predicting geographical suitability of geothermal power plants

(2020) Gianpaolo Coro et al.   JOURNAL OF CLEANER PRODUCTION

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

Numerical investigation on heat extraction performance of a multilateral-well enhanced geothermal system with a discrete fracture network

(2019) Yu Shi et al.   FUEL

Long Short-Term Memory Network based on Neighborhood Gates for processing complex causality in wind speed prediction

(2019) Zhendong Zhang et al.   ENERGY CONVERSION AND MANAGEMENT

Study on wellbore fluid flow and heat transfer of a multilateral-well CO2 enhanced geothermal system

(2019) Yu Shi et al.   APPLIED ENERGY

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

(2019) Kejun Wang et al.   APPLIED ENERGY

Numerical study on heat extraction performance of a multilateral-well enhanced geothermal system considering complex hydraulic and natural fractures

(2019) Yu Shi et al.   RENEWABLE ENERGY

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Numerical simulation of heat extraction performance in enhanced geothermal system with multilateral wells

(2018) Xianzhi Song et al.   APPLIED ENERGY

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

Long Short-Term Memory and Variational Autoencoder With Convolutional Neural Networks for Generating NMR T2 Distributions

(2018) Hao Li et al.   IEEE Geoscience and Remote Sensing Letters

Financial time series forecasting model based on CEEMDAN and LSTM

(2018) Jian Cao et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

Prediction of Subsurface NMR T2 Distributions in a Shale Petroleum System Using Variational Autoencoder-Based Neural Networks

(2017) Hao Li et al.   IEEE Geoscience and Remote Sensing Letters

Multilayer Neural Network with Multi-Valued Neurons in time series forecasting of oil production

(2016) Igor Aizenberg et al.   NEUROCOMPUTING

Data-driven forecasting of naturally fractured reservoirs based on nonlinear autoregressive neural networks with exogenous input

(2014) L. Sheremetov et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING

An innovative neural forecast of cumulative oil production from a petroleum reservoir employing higher-order neural networks (HONNs)

(2013) N. Chithra Chakra et al.   JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING