A review on machine learning forecasting growth trends and their real-time applications in different energy systems
T Ahmad, H Chen - Sustainable Cities and Society, 2020 - Elsevier
Energy forecasting and planning play an important role in energy sector development and
policy formulation. The forecasting model selection mostly based on the availability of the …
policy formulation. The forecasting model selection mostly based on the availability of the …
Sailing through the COVID‐19 Crisis by Using AI for Financial Market Predictions
The outbreak of COVID‐19 has brought the world to an unprecedented position where
financial and mental resources are drying up. Livelihoods are being lost, and it is becoming …
financial and mental resources are drying up. Livelihoods are being lost, and it is becoming …
[HTML][HTML] House price forecasting with neural networks
X Xu, Y Zhang - Intelligent Systems with Applications, 2021 - Elsevier
The house market has been rapidly growing for the past decade in China, making price
forecasting an important issue to the people and policy makers. We approach this problem …
forecasting an important issue to the people and policy makers. We approach this problem …
Residential housing price index forecasting via neural networks
X Xu, Y Zhang - Neural Computing and Applications, 2022 - Springer
During the past decade, the housing market in China has witnessed rapid growth and the
significance of forecasting related to housing prices has undoubtedly elevated, which has …
significance of forecasting related to housing prices has undoubtedly elevated, which has …
Office property price index forecasting using neural networks
X Xu, Y Zhang - Journal of Financial Management of Property and …, 2024 - emerald.com
Purpose The Chinese housing market has witnessed rapid growth during the past decade
and the significance of housing price forecasting has undoubtedly elevated, becoming an …
and the significance of housing price forecasting has undoubtedly elevated, becoming an …
Wavelet group method of data handling for fault prediction in electrical power insulators
Electric power is increasingly being used in the globalized day-to-day and keeping the
electric power system running is necessary. Insulators are important components of the …
electric power system running is necessary. Insulators are important components of the …
[HTML][HTML] A Gaussian process regression machine learning model for forecasting retail property prices with Bayesian optimizations and cross-validation
X Xu, Y Zhang - Decision Analytics Journal, 2023 - Elsevier
The real estate market in China has been growing rapidly during the past decade, with
different property price patterns across various regions. Among different types of properties …
different property price patterns across various regions. Among different types of properties …
Second-hand house price index forecasting with neural networks
X Xu, Y Zhang - Journal of Property Research, 2022 - Taylor & Francis
The house market in China has been growing rapidly for the past decade and price
forecasting has become a significant issue to the people and policymakers. We approach …
forecasting has become a significant issue to the people and policymakers. We approach …
Advanced machine learning model for better prediction accuracy of soil temperature at different depths
Soil temperature has a vital importance in biological, physical and chemical processes of
terrestrial ecosystem and its modeling at different depths is very important for land …
terrestrial ecosystem and its modeling at different depths is very important for land …
Retail property price index forecasting through neural networks
X Xu, Y Zhang - Journal of Real Estate Portfolio Management, 2023 - Taylor & Francis
Rapid growth has been seen in the Chinese housing market during the past decade, and
housing price forecasts have become more significant to investors and policy makers. In this …
housing price forecasts have become more significant to investors and policy makers. In this …