Results 1 to 10 of about 707,534 (170)
Carbon market price prediction in the Yangtze River Basin based on improved deep learning ensemble model with CEEMDAN and Attention-RNN [PDF]
Carbon Balance and ManagementAccurate carbon price prediction can help the government establish an effective and stable carbon trading market mechanism, which researchers are increasingly focusing on.
Zuliang Lu +4 more
doaj +2 more sources
Multimodal Price Prediction [PDF]
Annals of Data Science, 2021 This is a preprint of an article published in "Annals of Data Science". The final authenticated version is available online at: https://link.springer.com/article/10.1007/s40745-021-00326 ...
Aidin Zehtab-Salmasi +4 more
openaire +2 more sources
Study on the application of LSTM-LightGBM Model in stock rise and fall prediction [PDF]
MATEC Web of Conferences, 2021 This paper proposes a hybrid financial time series forecast model based on LSTM and LightGBM, namely LSTM_LightGBM model. Use the LightGBM model to train the processed stock historical data set, and save the training results.
Guo Yuankai, Li Yangyang, Xu Yuan
doaj +1 more source
Applying Machine Learning in Cloud Service Price Prediction: The Case of Amazon IaaS
Future Internet, 2023 When exploring alternative cloud solution designs, it is important to also consider cost. Thus, having a comprehensive view of the cloud market and future price evolution allows well-informed decisions to choose between alternatives.
George Fragiadakis +4 more
doaj +1 more source
Energies, 2020 In response to climate change and environmental issues, many countries have gradually optimized carbon market management and improved the carbon market trading mechanism.
Wei Sun, Junjian Zhang
doaj +1 more source
International Journal for Research in Applied Science and Engineering TechnologyAbstract: House price prediction is a critical task in the real estate industry, involving the use of statistical and machine learning techniques to estimate property values based on various features. This study aims to develop a predictive model that utilizes historical data, including attributes such as location, size, number of rooms, property age ...
Prof. Anup Bhange +4 more
+6 more sources
2021 International Conference on Advances in Computing, Communication, and Control (ICAC3), 2021 Bitcoin is currently the leading global provider of cryptocurrency which has recently received a lot of attention from the public. In recent years, the Bitcoin network has attracted investors, businesses, and corporations while facilitating services and product deals.
Mareena Fernandes +4 more
openaire +2 more sources
Improving the Cryptocurrency Price Prediction Performance Based on Reinforcement Learning
IEEE Access, 2021 During recent developments, cryptocurrency has become a famous key factor in financial and business opportunities. However, the cryptocurrency investment is not visible regarding the market’s inconsistent aspect and volatility of high prices.
Zeinab Shahbazi, Yung-Cheol Byun
doaj +1 more source
Hybrid Method for Short-Term Time Series Forecasting Based on EEMD
IEEE Access, 2020 To improve the prediction effect of time series, we make a systematic study of various time series prediction methods based on statistics and machine learning in this paper.
Yujun Yang, Yimei Yang
doaj +1 more source
Housing Price Forecasting Using AI (LSTM) [PDF]
تحقیقات مالی, 2023 ObjectiveForecasting the asset prices in any market is an inseparable and critical part of research on markets. Obtaining a credible prediction of an asset's potential future price provides valuable information for investors.
Hossein Ziyadi +2 more
doaj +1 more source