Accurate stock price prediction is critical for investment decisions in the stock market. To
improve the performance of stock price prediction, this paper proposes a novel two-stage …

Developing clean energy power generation is one of the main strategies to promote a
sustainable economy. With the development of clean coal power technology, it is necessary …

Accurate short-term load forecasting is crucial for the steady operation of the power system
and power market schedule planning. The extraction of features and training of prediction …

Traffic prediction plays an important role in the intelligent transportation system (ITS),
because it can increase people's travel convenience. Despite the deep neural network has …

Accurate analysis of traffic flow (TF) data is crucial for the vehicular applications.
Conventional deep learning models require task-specific training and are susceptible to …

In this paper, considering spatiotemporal correlations, we propose a novel short-term traffic
flow prediction method that is based on diverse ensemble deep learning. First, a new …

With the increasing penetration of wind power in power grid, accurate and reliable wind
power forecasting is of great significance for the economic operation and safe dispatching of …

Modeling and forecasting are impressive and active research areas, which have been
widely used in diverse theoretical and practical applications, successfully. Accuracy is the …

Deep Learning Methods in Short-Term Traffic Prediction: A Survey Page 1 139 Information
Technology and Control 2022/1/51 Deep Learning Methods in Short-Term Traffic Prediction …

Highly accurate short-term load forecasting (STLF) is essential in the operation of power
systems. However, the existing predictive methods cannot achieve an effective balance …