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ABSTRACT:
In early stage there where different ways to produce the energy. There are different energy sources such as wind energy, mechanical energy, kinetic energy, gravitational energy, thermal energy, chemical energy, electrical energy, light energy, radiant energy, sound energy, nuclear energy, wind energy so on. Even we have reaped many type of energy source, in this all types; some of the energy is not authorized to commercial people. The easiest eco-friendly energy both industrial and commercial purpose use solar energy. The energy can be used directly to heat, and light homes or it can be converted into electricity using solar energy technologies like solar panels. People are increasingly investing in solar energy to save on out-of-pocket costs and get rid of dangerous and expensive power lines. In past if a person wants to purchase solar panel they do not have any prior knowledge about to buy the panel because on that stage the solar panel was made only in photovoltaic system and that time the price dramatically increases.As the technology develop the solar panel types are also increased, by some of the people don’t know the clear idea to purchase which panel, energy consumption etc. we proposed in the feature model if a person not get knowledge about the solar panel by this application the people get idea about it.
INTRODUCTION TO PROJECT
In early stage people are aware of solar energy by commercial people are not affordable due to high cost of price. In upcoming world the solar panel types are classified into many segments, price is increase or decrease according to panel types. On that stage also the people have no knowledge about what panel is used for their purpose and also the waste their money. By this situation we want to the change people mind to give awareness about importance of energy through this application. By this application the people get know about the panel types and the importance also their features, so people can easily understand it. By some of the people can check with cost wise, this feature also available in this application. In this feature can be done with concept of feature selection method, in this method is used to give the relevant information to the user. In energy preserving scheme selection approach to predict the material properties through machine learning and computational methods. In this application, we apply algorithms for panel prediction through user data’s; it is a crucial step of data driven machine
learning approach where the panels and the related information on the datasets. When the user give the specific data as input and it process to get relevant information as output.
