Essays about: "Multi step-ahead forecasting"
Showing result 1 - 5 of 6 essays containing the words Multi step-ahead forecasting.
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1. Forecasting Efficiency in Cryptocurrency Markets : A machine learning case study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Financial time-series are not uncommon to research in an academic context. This is possibly not only due to its challenging nature with high levels of noise and non-stationary data, but because of the endless possibilities of features and problem formulations it creates. READ MORE
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2. Temporal Convolutional Networks for Forecasting Patient Volumes in Digital Healthcare
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Patient volume forecasting is an important tool for staffing clinicians to meet patient demands. In traditional care, the problem has been studied by multiple authors with inconclusive results. READ MORE
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3. Household’s energy consumption and productionforecasting: A Multi-step ahead forecast strategiescomparison.
University essay from Högskolan Dalarna/MikrodataanalysAbstract : In a changing global energy market where the decarbonization of the economy and the demand growth are pushing to look for new models away from the existing centralized non-renewable based grid. To do so, households have to take a ‘prosumer’ role; to help them take optimal actions is needed a multi-step ahead forecast of their expected energy production and consumption. READ MORE
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4. Workload prediction for resource management in data centers
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Resource management is to arrange and allocate resources for computing operations and applications. In large scale data centers that contain thousands of servers, resource management is critical for efficient operation. READ MORE
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5. Forecast Performance Between SARIMA and SETAR Models: An Application to Ghana Inflation Rate
University essay from Statistiska institutionenAbstract : In recent years, many research works such as Tiao and Tsay (1994), Stock and Watson (1999), Chen et al. (2001), Clements and Jeremy (2001), Marcellino (2002), Laurini and Vieira (2005) and others have described the dynamic features of many macroeconomic variables as nonlinear. READ MORE