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  • Search: subject:"LSTM neural network"
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Year of publication
Subject
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China 2 Forecasting model 2 Neural networks 2 Neuronale Netze 2 Prognoseverfahren 2 Air pollution 1 Carbon peak 1 Emissions trading 1 Emissionshandel 1 Erdölindustrie 1 Forecast 1 Forecast accuracy 1 GDIM 1 Global Principal Component Analysis (GPCA) 1 Greenhouse gas emissions 1 Grey Relation Analysis (GRA) 1 Industrial CO2 emissions 1 LSTM neural network 1 LSTM neural network model 1 Luftverschmutzung 1 Monte Carlo simulation 1 Monte-Carlo-Simulation 1 Oil industry 1 Profitability 1 Prognose 1 Rentabilität 1 Simulation 1 Treibhausgas-Emissionen 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article in journal 2 Aufsatz in Zeitschrift 2
Language
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English 2
Author
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Ding, Xiaowei 1 Jin, Junlei 1 Li, Wen-kai 1 Nie, Pu-yan 1 Wang, Yuanlong 1 Wen, Hong-xing 1 Ye, Lyu 1
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Published in...
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Energy strategy reviews 1 Montenegrin journal of economics 1
Source
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ECONIS (ZBW) 2
Showing 1 - 2 of 2
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Financial profitability evaluation and forecasting using the deep learning : a case of the Chinese Petroleum Industry
Ding, Xiaowei; Ye, Lyu; Jin, Junlei; Wang, Yuanlong - In: Montenegrin journal of economics 19 (2023) 4, pp. 55-64
Persistent link: https://www.econbiz.de/10014427900
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Cover Image
Prediction of China's industrial carbon peak : based on GDIM-MC model and LSTM-NN model
Li, Wen-kai; Wen, Hong-xing; Nie, Pu-yan - In: Energy strategy reviews 50 (2023), pp. 1-13
comprehensively used Monte Carlo simulation and LSTM Neural Network model to predict the evolution trends of China's industrial carbon … Technological Breakthrough scenario (green technology progress) will peak in 2027 and 2025, and under the LSTM Neural Network model …
Persistent link: https://www.econbiz.de/10014574953
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