Data-driven understanding of smart service systems through text mining
Smart service systems are everywhere, in homes and in the transportation, energy, and
healthcare sectors. However, such systems have yet to be fully understood in the literature …
healthcare sectors. However, such systems have yet to be fully understood in the literature …
Intelligent DC arc-fault detection of solar PV power generation system via optimized VMD-based signal processing and PSO–SVM classifier
X Cai, RJ Wai - IEEE Journal of Photovoltaics, 2022 - ieeexplore.ieee.org
In a solar photovoltaic (PV) power generation system, arc faults including series arc fault
(SAF) and parallel arc fault (PAF) may occur due to aging of joints or other reasons. It may …
(SAF) and parallel arc fault (PAF) may occur due to aging of joints or other reasons. It may …
[HTML][HTML] Modeling energy management sustainability: Smart integrated framework for future trends
The sustainability issues of energy management are among the open challenges that lack
an integrative sustainable framework and need urgent solutions in the power plants. Extant …
an integrative sustainable framework and need urgent solutions in the power plants. Extant …
[PDF][PDF] A simple real-time Energy analytics model for smart building using open IoT platforms
Monitoring energy in buildings can ease us to have a better understanding of electricity
consumption patterns to support efficiency and avoid potential damages. However, indoor …
consumption patterns to support efficiency and avoid potential damages. However, indoor …
[PDF][PDF] SunSpark: Fusion of time-domain and frequency-domain transformer for accurate identification of DC arc faults
C Tian, Z Xu, Y Liu, L Wang, P Sun - Electronic Research Archive, 2024 - aimspress.com
Photovoltaic (PV) power generation is pivotal to the energy strategies of various nations, yet
it is plagued by significant security challenges. This paper proposes a large-scale neural …
it is plagued by significant security challenges. This paper proposes a large-scale neural …
A Case Study for Energy Management in Food Production Facilities Through Data Analysis
IMR Buitrago, D Celeita… - 2024 13th International …, 2024 - ieeexplore.ieee.org
This paper presents a theoretical framework and state-of-the-art review of energy
management, with the primary goal of develo** an analytical methodology to enhance …
management, with the primary goal of develo** an analytical methodology to enhance …
An android based application and simulation of multiple photovoltaic panels
Rapid development of wireless network technologies allows smartphones to take computer's
place in many areas. Therefore, the majority of work to be done on the computer can be …
place in many areas. Therefore, the majority of work to be done on the computer can be …
Efficient Energy Usage Monitoring System with ESP32 Technology
This paper details the development of a robust electric energy monitoring system using
ESP32 technology. Focused on enhancing energy efficiency, the system employs IoT for …
ESP32 technology. Focused on enhancing energy efficiency, the system employs IoT for …
An optimized compression algorithm for distributed photovoltaic data
Z Shi, Y Liang - Journal of Physics: Conference Series, 2024 - iopscience.iop.org
To realize the compression of data in distributed photovoltaic systems, this paper proposes a
data compression algorithm that combines particle swarm optimization and multi-layer …
data compression algorithm that combines particle swarm optimization and multi-layer …
[PDF][PDF] A technical and financial analysis of smart prepaid split meters on Eskom's electric power distribution
SI Ndaba - 2021 - openscholar.dut.ac.za
The implementation of a smart metering system in the distribution network does not only
promote energy loss reduction, but also improves smart grids. This improvement in smart …
promote energy loss reduction, but also improves smart grids. This improvement in smart …