Multi-dimensional prediction method based on Bi-LSTMC for ship roll

Ship Roll Prediction Algorithm Based on Bi-LSTM-TPA Combined Model

(2021) Yuchao Wang et al.   Journal of Marine Science and Engineering

Mediative fuzzy logic mathematical model: A contradictory management prediction in COVID-19 pandemic

(2021) M.K. Sharma et al.   APPLIED SOFT COMPUTING

Scale effects in AR model real-time ship motion prediction

(2020) Hua Jiang et al.   OCEAN ENGINEERING

Ultra-Short-Term Industrial Power Demand Forecasting Using LSTM Based Hybrid Ensemble Learning

(2020) Mao Tan et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Deep learning and time series-to-image encoding for financial forecasting

(2020) Silvio Barra et al.   IEEE-CAA Journal of Automatica Sinica

Time series forecasting based on kernel mapping and high-order fuzzy cognitive maps

(2020) Kaixin Yuan et al.   KNOWLEDGE-BASED SYSTEMS

Effects of radiation and diffraction forces on the prediction of parametric roll

(2019) Shu-Xia Bu et al.   OCEAN ENGINEERING

Predicting plug loads with occupant count data through a deep learning approach

(2019) Zhe Wang et al.   ENERGY

Parametric roll prediction of the KCS containership in head waves with emphasis on the roll damping and nonlinear restoring moment

(2019) Liwei Yu et al.   OCEAN ENGINEERING

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

(2019) Kejun Wang et al.   APPLIED ENERGY

Bottom-Up Load Forecasting With Markov-Based Error Reduction Method for Aggregated Domestic Electric Water Heaters

(2019) Xun Gong et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

Multiple Kernel Learning-Based Transfer Regression for Electric Load Forecasting

(2019) Di Wu et al.   IEEE Transactions on Smart Grid

Probabilistic Forecasting With Fuzzy Time Series

(2019) Petronio Candido de Lima Silva et al.   IEEE TRANSACTIONS ON FUZZY SYSTEMS

Multitask Bayesian Spatiotemporal Gaussian Processes for Short-Term Load Forecasting

(2019) Mostafa Gilanifar et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Algorithmic financial trading with deep convolutional neural networks: Time series to image conversion approach

(2018) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

A real-time ship roll motion prediction using wavelet transform and variable RBF network

(2018) Jian-Chuan Yin et al.   OCEAN ENGINEERING

A Short-Term and High-Resolution Distribution System Load Forecasting Approach Using Support Vector Regression With Hybrid Parameters Optimization

(2018) Huaiguang Jiang et al.   IEEE Transactions on Smart Grid

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Hybrid forecasting model based on long short term memory network and deep learning neural network for wind signal

(2018) Yong Qin et al.   APPLIED ENERGY

Multivariate Ensemble Forecast Framework for Demand Prediction of Anomalous Days

(2018) Muhammad Qamar Raza et al.   IEEE Transactions on Sustainable Energy

Forecasting the daily power output of a grid-connected photovoltaic system based on multivariate adaptive regression splines

(2016) Yanting Li et al.   APPLIED ENERGY

Comparison of new hybrid FEEMD-MLP, FEEMD-ANFIS, Wavelet Packet-MLP and Wavelet Packet-ANFIS for wind speed predictions

(2015) Hui Liu et al.   ENERGY CONVERSION AND MANAGEMENT

Time series forecasting using a deep belief network with restricted Boltzmann machines

(2014) Takashi Kuremoto et al.   NEUROCOMPUTING

Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks

(2010) F. Almonacid et al.   ENERGY