Retracted: A Novel Artificial Neural Network Algorithm for Prediction of Natural Gas Prices using Machine Learning
G. Charles Babu, Kotari Sridevi, K Mohan, Srisailapu D Vara Prasad, J. Kavitha
Abstract
Natural gas is extensively utilized by the people as the cleanest energy source. With the increase in global population, natural gas has become one of the mainlysignificant energy resources. It has been proposed as one of the solutions to amplify the protection of energy production and reduction environmental pollution about the world. It isn't as it were the most fuel for civilian utilize but too a fundamental input for numerous mechanical applications and power generation. Hence investigate and forecasting natural gas prices have become necessary as it is playing an extended part within the future of worldwide vitality due to its critical natural benefits. Being able to estimate characteristic gas costs benefits different partners and hence it has ended up a really profitable instrument for all showcase members in competitive normal gas markets. Machine learning calculations have ended up well known apparatuses for common gas cost determining. The point of this venture is to examine data-driven prescient models for common gas cost determining based on common machine learning tools such as Artificial neural networks (ANN)