Deep Spatio-Temporal Graph Network with Self-Optimization for Air Quality Prediction

A Variational Bayesian Deep Network with Data Self-Screening Layer for Massive Time-Series Data Forecasting

(2022) Xue-Bo Jin et al.   Entropy

Potential of ARIMA-ANN, ARIMA-SVM, DT and CatBoost for Atmospheric PM2.5 Forecasting in Bangladesh

(2021) Shihab Ahmad Shahriar et al.   Atmosphere

Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

(2021) Xue-Bo Jin et al.   Energies

Comparison of an artificial neural network and Gompertz model for predicting the dynamics of deaths from COVID-19 in México

(2021) R. A. Conde-Gutiérrez et al.   NONLINEAR DYNAMICS

Appling an Improved Method Based on ARIMA Model to Predict the Short-Term Electricity Consumption Transmitted by the Internet of Things (IoT)

(2021) Ni Guo et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Air quality prediction using CNN+LSTM-based hybrid deep learning architecture

(2021) Aysenur Gilik et al.   ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH

Near-surface PM2.5 prediction combining the complex network characterization and graph convolution neural network

(2021) Guyu Zhao et al.   NEURAL COMPUTING & APPLICATIONS

Analysis and accurate prediction of ambient PM2.5 in China using Multi-layer Perceptron

(2020) Rui Feng et al.   ATMOSPHERIC ENVIRONMENT

Probabilistic forecasting with temporal convolutional neural network

(2020) Yitian Chen et al.   NEUROCOMPUTING

Prediction Intervals Estimation of Solar Generation Based on Gated Recurrent Unit and Kernel Density Estimation

(2020) Cheng Pan et al.   NEUROCOMPUTING

A support vector machine model to forecast ground-level PM2.5 in a highly populated city with a complex terrain

(2020) Caroline Mogollón-Sotelo et al.   Air Quality Atmosphere and Health

Electric load forecasting by complete ensemble empirical mode decomposition adaptive noise and support vector regression with quantum-based dragonfly algorithm

(2019) Zichen Zhang et al.   NONLINEAR DYNAMICS

Atmospheric PM2.5Concentration Prediction Based on Time Series and Interactive Multiple Model Approach

(2019) Jihan Li et al.   Advances in Meteorology

Predicting air quality with deep learning LSTM: Towards comprehensive models

(2019) Ricardo Navares et al.   Ecological Informatics

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

Time Series Forecasting of Air Quality Based On Regional Numerical Modeling in Hong Kong

(2018) Tong Liu et al.   JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES

Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting

(2018) Yusen Wang et al.   Energies

LSTM-based traffic flow prediction with missing data

(2018) Yan Tian et al.   NEUROCOMPUTING