Random vector functional link neural network based ensemble deep learning for short-term load forecasting
Electric load forecasting is essential for the planning and maintenance of power systems.
However, its un-stationary and non-linear properties impose significant difficulties in …
However, its un-stationary and non-linear properties impose significant difficulties in …
A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues
SA Edalatpanah, FS Hassani, F Smarandache… - … applications of artificial …, 2024 - Elsevier
Rising market demands, economic pressures, and technological advancements have
spurred researchers to seek ways to enhance business environments and scientific …
spurred researchers to seek ways to enhance business environments and scientific …
Monthly ship price forecasting based on multivariate variational mode decomposition
Z Wang, L Chen, H Chen, N ur Rehman - Engineering Applications of …, 2023 - Elsevier
Accurate and reliable ship price forecasts can assist shipping firms, investors, and other
participants to withstand risks and make profits in a highly volatile shipping market …
participants to withstand risks and make profits in a highly volatile shipping market …
Robust empirical wavelet fuzzy cognitive map for time series forecasting
Fuzzy cognitive maps have achieved significant success in time series modeling and
forecasting. However, fuzzy cognitive maps still contain weakness to handle the …
forecasting. However, fuzzy cognitive maps still contain weakness to handle the …
Ship order book forecasting by an ensemble deep parsimonious random vector functional link network
Efficient forecasting of ship order books holds immense significance in the maritime industry,
enabling companies to optimize their operations, allocate resources effectively, and make …
enabling companies to optimize their operations, allocate resources effectively, and make …
Determinants of dry bulk shipping freight rates: Considering Chinese manufacturing industry and economic policy uncertainty
B Gu, J Liu - Transport Policy, 2022 - Elsevier
The past decades have witnessed the rapid development of China's manufacturing industry,
which has established China's status as a manufacturing and trading power. Along with the …
which has established China's status as a manufacturing and trading power. Along with the …
Newbuilding ship price forecasting by parsimonious intelligent model search engine
Asset prices play a significant role in the financial survival and profitability of ship-owning
firms. In a highly volatile shipping market, prices of newbuilding ships must be predicted to …
firms. In a highly volatile shipping market, prices of newbuilding ships must be predicted to …
Multi-rule combination prediction of compositional data time series based on multivariate fuzzy time series model and its application
H Huang, Y Tian, Z Tao - Expert Systems with Applications, 2024 - Elsevier
Compositional data (CoDa) is a type of relative data reflecting the proportion of different
units in an integrated system, which can reveal the internal structure of observed objects and …
units in an integrated system, which can reveal the internal structure of observed objects and …
Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach
Fuzzy set based time series (FTS) prediction techniques offer potential advantages in
efficient and intuitive data partitioning and the effective handling of uncertainty in the data …
efficient and intuitive data partitioning and the effective handling of uncertainty in the data …
High-dimensional lag structure optimization of fuzzy time series
Lag-selection is a high dimensional hyper-parameter in the fuzzy time series (FTS) which
requires complex optimization process and computational capacity particularly in high …
requires complex optimization process and computational capacity particularly in high …