Search results

This paper discusses the electromagnetic unbalances of transmission lines caused by mutual impedances. The unbalance factors of 27 different transmission line configurations have been studied by using a digital computer. The impacts of transposition, phase arrangement, additions of transformer, and capacitors to the lines in terms of circulating currents, sequence impedances, and net through and circulatory unbalance factors have been investigated extensively. Furthermore, the impact of “n” overhead ground wires on the electromagnetic unbalance factors of untransposed single‐ and double‐circuit transmission lines have been studied and the results have been tabulated and plotted.

A new stochastic load forecasting model to predict load growth on radial feeders has been developed. Present methods of making such predictions have no underlying a priori model on which to rely. This paper summarizes an attempt to apply developmental models to the load growth prediction problem. A parameter study is described which suggests the relative importance of the model's parameters. Using actual data obtained from a utility company, forecasts are compared with network growth.

This paper discusses the use of stochastic models based on the Box‐Jenkins modeling methodology to determine the future electrical loads. The developed forecasting models have been applied successfully by using the electrical load data provided by the Oklahoma Gas and Electric Company.

While the studies on the use of smart robots in the production, which is known as the Industry 4.0 revolution, continue rapidly, the competition race is in the right proportion with this and businesses that do not want to fall behind the age have to follow the developments in Industry 4.0 and adapt. This chapter examines the Industry 4.0 revolution and its effect on accounting. Incorrect information from one of the business departments affects the entire system. Especially in the accounting department, which records the financial movements of the business and reports the results of them, and which is effective in making decisions that affect the whole business based on these results, the use of smart systems helps to reduce human-made mistakes and the system to act faster while also the systems used in traditional accounting are abandoned. However, brain power is still required, which must analyze the results. While the revolution is still developing, there are a lot of theories about the future. The expected outcome of these is that with the revolution, the need for brain power to analyze system outputs will increase, even if the need for human labour in the industry decreases. In this context, especially those who perform the accounting profession must constantly renew themselves.