A review on deep learning with focus on deep recurrent neural network for electricity forecasting in residential building
ML Abdulrahman, KM Ibrahim, AY Gital… - Procedia Computer …, 2021 - Elsevier
The rapid increase in urbanization has resulted in a significant rise in electricity
consumption, which resulted in a wide gap between the amount of electricity generated and …
consumption, which resulted in a wide gap between the amount of electricity generated and …
Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques
Better forecasting energy demand in China and India can help those countries meet future
challenges caused by the changes in that demand, as well as inform future global energy …
challenges caused by the changes in that demand, as well as inform future global energy …
[HTML][HTML] Efficient daily electricity demand prediction with hybrid deep-learning multi-algorithm approach
Predicting electricity demand (G) is crucial for electricity grid operation and management. In
order to make reliable predictions, model inputs must be analyzed for predictive features …
order to make reliable predictions, model inputs must be analyzed for predictive features …
The application of a novel neural network in the detection of phishing websites
In recent years, security incidents of website occur increasingly frequently, and this
motivates us to study websites' security. Although there are many phishing detection …
motivates us to study websites' security. Although there are many phishing detection …
Using cost-sensitive learning and feature selection algorithms to improve the performance of imbalanced classification
Imbalanced data problem is widely present in network intrusion detection, spam filtering,
biomedical engineering, finance, science, being a challenge in many real-life data-intensive …
biomedical engineering, finance, science, being a challenge in many real-life data-intensive …
Electricity demand forecasting: a systematic literature review
A Atanane, L Benabbou… - 2023 14th International …, 2023 - ieeexplore.ieee.org
In our modern world, electricity is of immense importance as it has revolutionized the actual
world on every level. Electricity demand forecasting became a key component of every …
world on every level. Electricity demand forecasting became a key component of every …
A novel approach for mobile malware classification and detection in Android systems
With the increasing number of malicious attacks, the way how to detect malicious Apps has
drawn attention in mobile technology market. In this paper, we proposed a detection model …
drawn attention in mobile technology market. In this paper, we proposed a detection model …
India's dependence on foreign oil will exceed 90% around 2025-The forecasting results based on two hybridized NMGM-ARIMA and NMGM-BP models
Few study has been conducted to forecast India's dependence on foreign oil, although India
is the world's third-largest oil consumer and exporter, making it a key player in the oil market …
is the world's third-largest oil consumer and exporter, making it a key player in the oil market …
Arrhythmia recognition and classification through deep learning-based approach
R Zhou, X Li, B Yong, Z Shen, C Wang… - International …, 2019 - inderscienceonline.com
Arrhythmia is a cardiac condition caused by abnormal electrical activity of the heart, which
can be life-threatening. Electrocardiogram (ECG) is the principal diagnostic tool used to …
can be life-threatening. Electrocardiogram (ECG) is the principal diagnostic tool used to …
Forecasting coal consumption in India by 2030: using linear modified linear (MGM-ARIMA) and linear modified nonlinear (BP-ARIMA) combined models
India's coal consumption is closely related to greenhouse gas emissions and the balance of
supply and demand in energy trading markets. Most existing research on India focuses on …
supply and demand in energy trading markets. Most existing research on India focuses on …