[HTML][HTML] One-day-ahead solar irradiation and windspeed forecasting with advanced deep learning techniques
In recent years, demand for electric energy has steadily increased; therefore, the integration
of renewable energy sources (RES) at a large scale into power systems is a major concern …
of renewable energy sources (RES) at a large scale into power systems is a major concern …
Traffic volume prediction for scenic spots based on multi‐source and heterogeneous data
Y Gao, YY Chiang, X Zhang, M Zhang - Transactions in GIS, 2022 - Wiley Online Library
Traffic prediction for scenic spots is an important topic in modeling an urban traffic system.
Existing traffic prediction approaches typically use raw traffic data and road networks without …
Existing traffic prediction approaches typically use raw traffic data and road networks without …
One-day-ahead wind speed forecasting based on advanced deep and hybrid quantum machine learning
Electricity demand has been rising significantly over the past few years, making it crucial to
integrate renewable energy sources (RES) into power networks on a wide scale. Among the …
integrate renewable energy sources (RES) into power networks on a wide scale. Among the …
Multi-dimensional Information Multimedia Big Data Mining Analysis Relying on Association Rule Map** Model
P He - Arabian Journal for Science and Engineering, 2024 - Springer
Multi-factor information multimedia big data mining analysis is a thorough method for
generating valuable insights from large, diversified datasets containing multimedia material …
generating valuable insights from large, diversified datasets containing multimedia material …
[PDF][PDF] One-Day-Ahead Solar Irradiation and Windspeed Forecasting with Advanced Deep Learning Techniques. Energies 2022, 15, 4361
In recent years, demand for electric energy has steadily increased; therefore, the integration
of renewable energy sources (RES) at a large scale into power systems is a major concern …
of renewable energy sources (RES) at a large scale into power systems is a major concern …
Individualized Location Prediction Using Autoencoders and Long-Short Term Memory Networks
Predicting an individual's future location is a challenging task that has significant
implications for a variety of real-world applications. In this paper, we present a novel location …
implications for a variety of real-world applications. In this paper, we present a novel location …
Knowledge acquisition and reasoning systems for service robots: A short review of the state of the art
PK Prasad, W Ertel - 2020 5th International Conference on …, 2020 - ieeexplore.ieee.org
Understanding the environment is an essential capability for mobile service robots to
achieve autonomy. While this has proven to be a very challenging task, researchers have …
achieve autonomy. While this has proven to be a very challenging task, researchers have …
Sentient destination prediction
In addition to context awareness and proactive behaviour, personalization constitutes one of
the most important factors to consider when building digital assistance systems. In the field …
the most important factors to consider when building digital assistance systems. In the field …
[CITARE][C] One Day Ahead Wind Speed Forecasting based on Advanced Deep and Hybrid Quantum Machine Learning
BKYKS Nikolaos, S Georgios