This study focuses on the crucial task of forecasting tax revenue for India, specifically the Goods and Services Tax … non-compliance, posing challenges for accurate forecasting. Traditional time-series forecasting methods like ARIMA …, assuming linearity, often yield inaccurate results. To address this, we explore alternative forecasting models, including …

activity. The objective of this research is to develop a distribution short-term load forecasting technology consisting of a … forecasting method, development methodology, theories necessary to support required technical components, and the hardware and …

in stock forecasting. Neural networks are viewed as one of the more suitable techniques. In this study, an experiment on … the forecasting of the Stock Exchange of Thailand (SET) was conducted by using feedforward backpropagation neural networks … neural network models in the forecasting of SET. Several global and local factors influencing the Thai stock market were used …