scholarly journals Synthesis of intelligent power management system of food manufacturing processes with power consumption prediction

2020 ◽  
Vol 8 (1) ◽  
pp. 105-122
Author(s):  
Serhii Baliuta ◽  
Liudmyla Kopylova ◽  
Valerii Kuevda ◽  
Iuliia Kuievda ◽  
Iryna Lytvyn
Keyword(s):  
Power Consumption ◽  
Power Management ◽  
Management System ◽  
Manufacturing Processes ◽  
Food Manufacturing ◽  
Power Management System ◽  
Intelligent Power Management ◽  
Power Consumption Prediction ◽  
Consumption Prediction

Design of Intelligent Green Power Management System

2013 ◽  
Vol 340 ◽  
pp. 984-987
Author(s):  
Yong Sheng Du ◽  
Zhang Hong Yu ◽  
Yu Qing Jian
Keyword(s):  
Energy Consumption ◽  
Power Management ◽  
Management System ◽  
Electricity Consumption ◽  
Electrical Equipment ◽  
Control Center ◽  
Green Power ◽  
Power Management System ◽  
Intelligent Power Management ◽  
And Control

Intelligent power management system can detect and control the electricity consumption of electrical equipment of family and office automatically, to achieve the purpose of saving energy consumption. The monitoring server is the control center of the whole system,it can real-time monitor the energy consumption data of inserting the electric apparatus,and it can also control the power on and off automatically through remote operation of the client or using strategies. The monitoring server uses embedded Linux platform based on arm architecture,software development mainly uses C Language. This paper introduces the software design of monitoring server, and also in detail describes the design of the driver and communication protocol.

scholarly journals A Conceptual and Systematics for Intelligent Power Management System-Based Cloud Computing: Prospects, and Challenges

2021 ◽  
Vol 11 (21) ◽  
pp. 9820
Author(s):  
Ahmed Hadi Ali AL-Jumaili ◽  
Yousif I. Al Mashhadany ◽  
Rossilawati Sulaiman ◽  
Zaid Abdi Alkareem Alyasseri
Keyword(s):  
Cloud Computing ◽  
Power Management ◽  
Power Distribution ◽  
Management System ◽  
Intelligent Systems ◽  
Power Optimization ◽  
Intelligent System ◽  
Power Sources ◽  
Power Management System ◽  
Intelligent Power Management

This review describes a cloud-based intelligent power management system that uses analytics as a control signal and processes balance achievement pointer, and describes operator acknowledgments that must be shared quickly, accurately, and safely. The current study aims to introduce a conceptual and systematic structure with three main components: demand power (direct current (DC)-device), power mix between renewable energy (RE) and other power sources, and a cloud-based power optimization intelligent system. These methods and techniques monitor demand power (DC-device), load, and power mix between RE and other power sources. Cloud-based power optimization intelligent systems lead to an optimal power distribution solution that reduces power consumption or costs. Data has been collected from reliable sources such as Science Direct, IEEE Xplore, Scopus, Web of Science, Google Scholar, and PubMed. The overall findings of these studies are visually explained in the proposed conceptual framework through the literature that are considered to be cloud computing based on storing and running the intelligent systems of power management and mixing.

Design of Intelligent Power Management System Based on Internet of Things

2013 ◽  
Vol 340 ◽  
pp. 979-983
Author(s):  
Yu Qing Jian ◽  
Zhang Hong Yu ◽  
Shuang Chen
Keyword(s):  
Internet Of Things ◽  
Power Management ◽  
Management System ◽  
Electrical Equipment ◽  
Control Center ◽  
Processor Core ◽  
Overall Design ◽  
Current State ◽  
Power Management System ◽  
Intelligent Power Management

Intelligent power management system based on Internet of things is mainly used in electrical equipment focused occasions such as home or office, used for remote monitoring and managing the power of the electrical equipment, the system also has intelligent management functionality, it can control power supply based on current state of the power consumption of the electrical equipment, to achieve the purpose of saving energy consumption. The control center of the system used embedded hardware platform and Linux operating systems based on the ARM processor core, software development used C language.In this paper, the overall design of the system is described.

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