LONG-TERM ENERGY DEMAND IN MALAYSIA AS A FUNCTION OF ENERGY SUPPLY: A COMPARATIVE ANALYSIS OF NON-LINEAR AUTOREGRESSIVE EXOGENOUS NEURAL NETWORKS AND MULTIPLE NON-LINEAR REGRESSION MODELS

Long-term energy demand in Malaysia as a function of energy supply: A comparative analysis of Non-Linear Autoregressive Exogenous Neural Networks and Multiple Non-Linear Regression Models

Energy modeling and forecasting are key to providing insightful energy-related policy decisions that could propel positive economic growth and sustainable development.In this study, the Non-Linear Autoregressive Exogenous Neural Networks (NARX) and Multiple Non-Linear Regression (MNLR) models were employed for modeling the final energy demand per c

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Modeling an Attack-Mitigation Dynamic Game-Theoretic Scheme for Security Vulnerability Analysis in a Cyber-Physical Power System

The rapid development of advanced information and communication technology has made modern power systems evolve into more complicated cyber-physical power systems (CPPSs) with mutual coupling characteristics between cyber systems and power systems, and at the same time, the CPPSs have tennessee titans dog bandana to confront some newly emerged risk

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Cohort consumption in the Russian Federation

The current demographic situation in both developed and developing countries is characterized by an aging population.From an economic perspective, this phenomenon holds practical significance for studying anticipated changes in the structure of state budget revenues and expenditures, as well as alterations in the overall consumption of read more go

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