A comprehensive review on deep learning approaches for short-term load forecasting
The balance between supplied and demanded power is a crucial issue in the economic
dispatching of electricity energy. With the emergence of renewable sources and data-driven …
dispatching of electricity energy. With the emergence of renewable sources and data-driven …
[HTML][HTML] Recurrent neural networks: A comprehensive review of architectures, variants, and applications
Recurrent neural networks (RNNs) have significantly advanced the field of machine learning
(ML) by enabling the effective processing of sequential data. This paper provides a …
(ML) by enabling the effective processing of sequential data. This paper provides a …
Transformers: State-of-the-art natural language processing
Recent progress in natural language processing has been driven by advances in both
model architecture and model pretraining. Transformer architectures have facilitated …
model architecture and model pretraining. Transformer architectures have facilitated …
Application of artificial intelligence for EV charging and discharging scheduling and dynamic pricing: A review
The high penetration of electric vehicles (EVs) will burden the existing power delivery
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
infrastructure if their charging and discharging are not adequately coordinated. Dynamic …
SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection
The industrial internet of things (IIoT) and supervisory control and data acquisition (SCADA)
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
have experienced ubiquitous growth recently. This growth comes with the challenge of an …
[HTML][HTML] Mediapipe's landmarks with rnn for dynamic sign language recognition
GH Samaan, AR Wadie, AK Attia, AM Asaad, AE Kamel… - Electronics, 2022 - mdpi.com
Communication for hearing-impaired communities is an exceedingly challenging task, which
is why dynamic sign language was developed. Hand gestures and body movements are …
is why dynamic sign language was developed. Hand gestures and body movements are …
Coordinated scheduling of wind-solar-hydrogen-battery storage system for techno-economic-environmental optimization of hydrogen production
Green hydrogen production powered by renewable energy emerges as a promising
alternative to reduce emissions in the context of the global Net Zero target. Nevertheless, the …
alternative to reduce emissions in the context of the global Net Zero target. Nevertheless, the …
[HTML][HTML] Aspects of artificial intelligence in future electric vehicle technology for sustainable environmental impact
Global energy trends are experiencing a profound transformation, and the future of
transportation will boost sustainable development by controlling energy production and …
transportation will boost sustainable development by controlling energy production and …
A federated learning-based industrial health prognostics for heterogeneous edge devices using matched feature extraction
Data-driven industrial health prognostics require rich training data to develop accurate and
reliable predictive models. However, stringent data privacy laws and the abundance of edge …
reliable predictive models. However, stringent data privacy laws and the abundance of edge …
[HTML][HTML] Flow forecasting for leakage burst prediction in water distribution systems using long short-term memory neural networks and Kalman filtering
Reducing pipe leakage is one of the top priorities for water companies, with many investing
in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most …
in higher quality sensor coverage to improve flow forecasting and detection of leaks. Most …