A Balance between the demand and supply is one of the indicator of the position of your organization in the Market. Every organization tries to match their supply with the demand. However, balancing between the two is highly impossible because of the changing customer requirements. Retail stores whose customer are the end users is very dynamic system as it is prone to the fluctuations immediate...

6 Highly accurate interval forecasting of a stock price index is fundamental to 7 successfully making a profit when making investment decisions, by providing a range 8 of values rather than a point estimate. In this study, we investigate the possibility of 9 forecasting an interval-valued stock price index series over short and long horizons 10 using multi-output support vector regression (MSVR...

As solar energy contributes an increasing share of total electricity generation, forecasting errors become important relative to overall load uncertainty and can add costs systems. We investigated the day-ahead forecast across 667 existing power plants in United States (years 2012 through 2019). Our analysis was based on hourly real-time nodal prices. analyzed two types forecasts: persistence f...

The paper addresses the problem of real-time emission control in a given set of air pollution sources. The approach applied utilizes the optimal control technique for distributed parameter systems. A set of pointwise emission sources with a predefined location and emission characteristics is considered as the controlled object. The problem is formulated as on-line minimization of an environment...

Artificial neural networks in time series prediction generally minimise a symmetric statistical error, such as the sum of squared errors, to learn relationships from the presented data. However, applications in business elucidate that real forecastine rrroblems contain non-svmmetric errors. The costs by an experimental evaluation of neural networks trained with asymmetric cost functions in comp...