How does a stock price actually change? I understand why it changes (supply/demand, market forces, financial reports, etc.), but not how. 1. Describe how forecasting can effect the short and long term goals of the organization. 2. how the lack of forecasting...
tourism demandpanel datatourism forecastingqualitative methodsPortugalThe tourism industry has expanded in recent years due to internal and external environmental forces. These forces, income, trade, consumer price, and geographical distance are interconnected. Accounting for imperfect competition and increasing...
(2017) examine the forecasting ability of GSV on six commodity prices using GARCH models. They find that GSV is a significant predictor of volatility in energy markets over the period 2004 to 2016. Kim et al. (2018) investigate the predictive power of GSV on the returns, volatility, and ...
Explain the role of forecasting, identifying different methods, and the strengths and weaknesses of each. Explain five factors that can lead to resistance to change in big organizations. What are the five possible competitor-response strategies? Identify and briefly describe the five aspe...
Question: Are cities like London "marriage markets"? What are some methods to test this hypothesis? Explain. Marriage markets: Marriage markets refer to public places where people can go to find spouses. Usually, parents provide their children?s information, and a list...
Business Economics Supply and demand Supply base optimization must occur before long-term agreements can be put into place. True False...Question:Supply base optimization must occur before long-term agreements can be put into place. True
consumption. This section explores how intelligent systems analyze historical data and external factors to predict future energy demand. By accurately forecasting energy consumption, AI assists in planning for renewable energy production, ensuring that supply meets the evolving demands of consumers and ...
Spatiotemporal multi-graph convolution network for ride-hailing demand forecasting. In Proceedings of the AAAI Conference on Artificial Intelligence, Honolulu, HI, USA, 27–28 January 2019; Volume 33, pp. 3656–3663. [Google Scholar] Bach, S.; Binder, A.; Montavon, G.; Klauschen, F.; ...
In addition, the presentation of a database of 1128 households provides actual usage behavior parameters for policy-makers to improve the accuracy of building energy forecasting models. Keywords: real building energy use data; energy performance gap; energy-efficient residential buildings; occupants’ ...
While the comparison of ML approaches under the lens of performance and accuracy is a process that is quite often assessed in the scientific literature, there is a need for a unified and shared framework for measuring and comparing [25]. This need is motivated by the growing demand for a tr...