In the current world of the Internet of Things, cyberspace, mobile devices, businesses, social
media platforms, healthcare systems, etc., there is a lot of data online today. Machine …

With an increase in integration of Solar energy in grid due to their environmental benefit, the
need for correct prediction of solar irradiance becomes important. This paper aims towards …

Generally, wind speed prediction plays a vital role in generation of wind power. Lately, wind
power generation has developed quickly, and the exactness expectation of wind power …

With the usage of De-regulated power system lately, power system maintenance has been a
major issue. In order to maintain microgrid stability and reliability, wind speed prediction is …

An increasingly popular renewable energy source is wind power. It aids in overcoming the
depletion of non-renewable energy sources and moves a nation closer to sustainable …

In this paper different machine learning algorithms are used to predict the energy
performance of residential buildings. Prediction of energy consumption has a major role in …

India is the one of the world's largest consumers of electricity. It heavily relies on fossil fuels.
Exhaustion of fossil fuels and global warming has made renewable energy an attractive …

Solar energy is an imminent renewable energy resources. Solar radiation is one of the
important factors of solar energy systems. Obtaining sun radiation data for many regions is …

The work focuses on how to overcome discriminating environment on buying and selling
price of the power in a micro grid. An intermediate system is built to overcome the …

Generally, load management plays an important role while balancing power needs.
Nowadays power generation has gone up matching to the levels of the demand to be met …