Power and energy measurement devices: A review, comparison, discussion, and the future of research
A Babuta, B Gupta, A Kumar, S Ganguli - Measurement, 2021 - Elsevier
This paper presents a detailed survey on power and energy measurement devices capturing
the overall progress over the decades in the associated field of instrumentation. The working …
the overall progress over the decades in the associated field of instrumentation. The working …
Genetic algorithms and deep learning for unique facial landmark-based key generation
Generating secure secret keys remains essential in the realm of biometric authentication
systems. Traditional methods have often suffered from inefficiency, insecurity, or the …
systems. Traditional methods have often suffered from inefficiency, insecurity, or the …
Time Load Forecasting: A Smarter Expertise Through Modern Methods
T Som - … Techniques for Renewable Energy Generation and …, 2023 - Springer
Electricity is a necessary aspect of modern life, and it benefits us in a variety of ways.
Electricity is a part of daily living of human race, which includes basic lighting, cooling …
Electricity is a part of daily living of human race, which includes basic lighting, cooling …
Residential electrical load forecasting based on a real-time evidential time series prediction method
Load forecasting is essential for efficient microgrid management, providing key advantages
in operational efficiency, cost control, and grid reliability. As microgrids become increasingly …
in operational efficiency, cost control, and grid reliability. As microgrids become increasingly …
Electrical price prediction using machine learning algorithms
S Mishra, K Prasad, AM Tigga - Machine learning algorithms …, 2023 - api.taylorfrancis.com
Energy is essential for the economic development of any country. In the case of developing
countries, the energy sector assumes critical importance given the ever-increasing energy …
countries, the energy sector assumes critical importance given the ever-increasing energy …
Optimasi Hyperparameter Support Vector Machine Dengan Particle Swarm Optimization Terhadap Klasifikasi Citra Digital Imbalanced
SW Lubis, PP Adikara, B Darma - Jurnal Pengembangan Teknologi …, 2024 - j-ptiik.ub.ac.id
Klasifikasi citra digital merupakan salah satu bidang utama dalam pengolahan citra yang
bertujuan untuk mengklasifikasikan objek atau karakteristik tertentu dalam suatu citra digital …
bertujuan untuk mengklasifikasikan objek atau karakteristik tertentu dalam suatu citra digital …
Load Forecasting and Load Prediction Using Neural Network
AB Rashid, S Vig - 2023 Global Conference on Information …, 2023 - ieeexplore.ieee.org
Electric load forecasting is essential to energy management because it enables effective
planning and resource utilization. Future electricity consumption forecasts must be precise …
planning and resource utilization. Future electricity consumption forecasts must be precise …
A Real-Time Evidential Time Series Prediction Method Applied on Residential Electrical Load Forecasting
The belief functions theory (BFT) is used in this study to provide a new method for short-term
load forecasting. The goal is to use information fusion techniques proposed in the BFT …
load forecasting. The goal is to use information fusion techniques proposed in the BFT …