Abstract
Residential Photovoltaic systems (RPV) are flattering and widespread
among customers due to government policies. The power sources available in RPV
include a grid, a PV system and a battery. The principal cost of residential photovoltaic
systems is a bit high. When more power is exported, the customer who has installed it
will export more power for their benefit. It can be achieved by efficiently scheduling
the three sources and managing the power export. Artificial Intelligence-based systems
can effectively take care of it because they provide effective decision-making solutions.
Related Journals
Recent Patents on Computer Science
The Chinese Journal of Artificial Intelligence
Current Chinese Computer Science
Journal of Fuzzy Logic and Modeling in Engineering
Recent Advances in Computer Science and Communications
International Journal of Sensors, Wireless Communications and Control
Journal of Intelligent Systems in Current Computer Engineering
Current E-Learning
Current Computer Science
Wireless and Communication Letters
Related Books
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
A First Course in Artificial Intelligence
Artificial Intelligence: Models, Algorithms and Applications
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Applications of Modern High Performance Networks
Arduino Meets Matlab: Interfacing, Programs and Simulink
Arduino and SCILAB based Projects
