Article

Forecasting CO2 Emissions Due To Electricity Power Generation In Bahrain

2021-08-24

Abstract excerpt

<title>Abstract</title> <p>Global warming is one of the biggest challenges among the leaders and scientists from developed and developing countries. Rapid industrialization and urbanization have given the boost to the amount of greenhouse gases’ emission. Carbon dioxide (CO<sub>2</sub>) is a significant of greenhouse gases and is the major contributing factor for global warming. CO<sub>2 </sub>emissions concentra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 431bac32-9325-5c3d-8c57-c34f80ad2ef6
DOI: 10.21203/rs.3.rs-749951/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Forecasting CO2 Emissions Due To Electricity Power Generation In BahrainDOI 10.21203/rs.3.rs-749951/v1Read

Using Big Data and Orthogonal Matching Pursuit Regression for Forecasting Worldwide Green House Gasses Emissions and ConsumptionSemantic proximity Read

Nonlinear Optimization of Recurrent Neural Networks in the Prediction of Air QualitySemantic proximity Read

Uncovering the role of clean fuel energy technology in reducing CO2 emissions in G20 countries: A panel nonparametric analysisSemantic proximity Read

Sustainably Producing Green Fuel Ammonia in Equatorial Waters and Piping It Worldwide, and Removing Atmospheric CO 2 to Return to the 1960s Temperature Rise Level by 2100Semantic proximity Read

Studying the Effect of Anthropogenic Activities on the Presence of Nitrogen Dioxide (NO2) through Remote Sensing and Ground Based Observations over Emirate of Fujairah, UAESemantic proximity Read

An Artificial Neural Network Forecast of SO2 Air Contamination: A Case Study of Ghaziabad CitySemantic proximity Read

Modelling the Nexus in Foreign Capital Flows and Environmental Degradation: Fresh Evidence From Global DataSemantic proximity Read

Impact Factors and Policy Effectiveness of Renewable Energy Generation in China: Insights from a Multi-Scenario Bayesian AnalysisSemantic proximity Read

An Integrated View of Homologous Emissions of Greenhouse Gases and Air Pollutants in ChinaSemantic proximity Read

Air pollution modelling and forecasting using hybrid machine learning for Craiova City in RomaniaSemantic proximity Read

PM2.5 concentration prediction using weighted CEEMDAN and improved LSTM neural network.Semantic proximity Read

Bayesian belief network modelling of the challenges associated with hybrid solar-diesel electricity from the end users’ perspective in Bugala Island in UgandaSemantic proximity Read