IOT POWER CONSUMPTION MONITORING SYSTEM FOR OFFGRID HOUSEHOLDS
Journal Title: Scientific Bulletin, Series: Electronics and Computer Science - Year 2017, Vol 17, Issue 2
Abstract
This paper represents a practical solution for a dynamic, affordable and flexible, power consumption monitoring system that is based on electrical sensors which are connected to the building’s own power grid. By using embedded technology and the Internet Of Things concept we have prototyped a real-time power monitoring system that is to be implemented in an autonomous smart home or building which uses renewable energy. Our automated system is able to read data from the sensors convert it to digital values, store it and then feedback it to the prosumer online and offline. The goal of the paper is to highlight the real possibility of further extending the system’s features from monitoring to automation, in order for the prosumer to benefit from smarter and faster decisions over its own energy efficiency and power management.
Authors and Affiliations
Viorel MIRON-ALEXE
Keywords
Related Articles
- EP ID EP320872
- DOI -
- Views 92
- Downloads 0
THE IMPLEMENTATION OF A RASPBERRY PI LOW COST SENSOR GLOVE
Wired or sensor gloves are systems can be wore like a glove and are used to capture the physical movement of the fingers and the hand. They can be bought or can be manually crafted and their cost can range from cheap to...
TEACHING ARDUINO PROGRAMMING AT HIGH SCHOOL LEVEL
Developing the programming skills for the high school pupils in the Romanian educational system is mostly a theoretical issue, with very little applications to real hardware systems. This can be in some cases an issue a...
SOFTWARE APPLICATION FOR MANAGING STUDENTS ADMISSION TO THE UNIVERSITY
The paper presents all the steps for designing and implementing a software application for students’ registration and matriculation and their allocation to a faculty depending on their chosen options. The system is compo...
AN IMPLEMENTATION OF THE GREEDY ALGORITHM FOR MULTICORE SYSTEMS
The great variety of parallel systems that appeared in the last period and use multicore chips leads inevitably to the development of applications with parallel algorithms. A multicore algorithm uses several threads in t...
PERFORMANCE EVALUATION OF BREAST CANCER DIAGNOSIS USING RADIAL BASIS FUNCTION, C4.5 AND ADABOOST
This paper conducted a performance evaluation on the most commonly data mining algorithms: Support Vector Machines (Radial basis function), C4.5 decision tree algorithm and Adaboost, using the two previous algorithms as...