Survey on Machine Learning Approaches for Solar Irradiation Prediction
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 3, Issue 10
Abstract
Renewable energy technologies are clean sources of energy that have a much lower environmental impact than conventional energy generation methods. Researches focusing on different energy generation techniques are gaining much importance worldwide, to manage exponential increase in the energy requirements. Solar energy is used in various applications like solar charged sensor nodes, solar charged vehicles, agriculture, electricity production etc. This solar energy can be harnessed using a range of technologies such as solar heating, solar photovoltaic cells, solar thermal electricity, solar architecture and artificial photosynthesis. The need for solar energy requires the estimation of solar energy production at various atmospherical conditions. This estimation involves the prediction of solar irradiation. Machine learning techniques based on Support Vector Machine (SVM), Neural Networks, Multilayer Perception(MLP), etc as well as Gaussian Process Regression method are normally applied for learning and predicting solar parameters. These models make use of parameters like air temperature, wind direction, relative humidity, and total rainfall as input to predict the temperature for a particular day. This paper highlights on the features of these different approaches for prediction and various metrics that are normally used for measuring the accuracy of the prediction process.
Authors and Affiliations
U. Divya*
Keywords
Related Articles
- EP ID EP111519
- DOI -
- Views 59
- Downloads 0
SIMULATION OF TRANSFORMERLESS DC- DC BOOST CONVERTER FOR HIGH STEP-UP VOLTAGE GAIN
This paper presents the performance analysis of transformer less dc-dc converters to achieve high step-up voltage gain without an extremely high duty ratio. The technique used to design the equivalent circuit of t...
Finite Element Analysis of I.C Engine Connecting Rod: A Review
The main objective of this paper is to proposed a weight reduction opportunities for a production cast iron connecting rod. We are taking different types of connecting rod made of cast iron and steel alloys materi...
Digital Image Processing: An Overview of Computational Time Requirement
Image processing is a growing field covering a wide range of techniques for the manipulation of digital images [1].Many image processing tasks can be characterized as being computationally intensive. One reason for thi...
STUDY THE EMISSION CHARACTERISTICS OF COMBUSTION IGNITION
A study was conducted on fuel blends prepared using diesel and refined soybean oil combinations compatible with diesel fuel as used in CI engines. A stationary 3.73 kW Kirloskar make single cylinder compression igniti...
Effect of Lime and Rice Husk Ash on Index Properties of Black Cotton Soil
This paper present an experimental investigation, carried out to study the effects of Rice Husk Ash on index properties of black cotton soil stabilized with 5%lime.Black cotton soil blended with 5% lime are treate...