Use machine learning algorithms to predict turbine power generation to replace renewable energy with fossil fuels

Energy resources of the 21st century: problems and forecasts. Can renewable energy sources replace fossil fuels?

From fossil fuels to renewable energies

This paper describes the model of an industrial society based on fossil fuels whose supply decreases and the society is forced to develop alternative energy sources. It is conceived as an abstract model that captures the basic aspect of such a change, but in a simple and schematic way. Despite this, most of the important dynamics of this problem are included in the model. The results show inter...

Using Machine Learning ARIMA to Predict the Price of Cryptocurrencies

The increasing volatility in pricing and growing potential for profit in digital currency have made predicting the price of cryptocurrency a very attractive research topic. Several studies have already been conducted using various machine-learning models to predict crypto currency prices. This study presented in this paper applied a classic Autoregressive Integrated Moving Average(ARIMA) model ...

Characterization of Fossil and Renewable Fuels

1Department of Applied Chemistry, China University of Mining and Technology, Xuzhou 221116, China 2Department of Chemical & Petroleum Engineering, University of Wyoming, Laramie, WY 82071, USA 3Fuels and Energy Technology Institute, Curtin University, Bentley, WA 6102, Australia 4Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA 5State Key Laboratory of Heavy Oil Pr...

Energy from Fossil Fuels.