The evaluation of building energy consumption is heavily based on building characteristics
and thus often deviates from the true consumption. Consequently, user-based estimation of …

This paper proposes the method of applying Artificial Neural Network (ANN) with Back
Propagation (BP) algorithm in combination or hybrid with Genetic Algorithm (GA) to propose …

Energy-saving strategies are required to address the increasing global CO2 and electrical
energy consumption problems. Therefore, the determinant factors of electrical energy …

Gazing at natural landscapes and participating in agricultural activities can elicit
psychophysiological restoration. However, most buildings are constructed merely to meet …

The research aims to develop a prediction system of solar energy radiation in the tropical
region for home energy needs. The tropics get sunlight all year round. The Solar energy …

Poisoning by accidental or intentional ingestion, injection or inhalation of household
chemical poisons are the most common cases of poisoning reported to the Malaysia …

Electricity has particular importance in the national economy and provides socio-economic
welfare. It is considered an essential infrastructure of the countries' development. This is why …

An Artificial Neural Network is a network of a collection of small processors modeled on
human nerves, The model in ANN is basically a mathematical model function that defines …