Essays about: "energy impact on"
Showing result 1 - 5 of 1946 essays containing the words energy impact on.
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1. Insights Into Wind Profile Characteristics in the Arctic Marine Boundary Layer
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : The atmospheric boundary layer in the Arctic is essential for the understanding of climate change and improving regional weather prediction. The aim of this study is to investigate to which degree wind speed profiles retrieved in the Arctic agree with well known wind profile concepts and understand which local impact factors influence the wind speed profile. READ MORE
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2. Power Profiling: Understanding the Impact of CPU Workloads on Container and Virtual Machine Power Efficiency
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Data centers power consumption represent a substantial amount of the global power consumption. While hardware has improved over the years, this study focuses on the software side of optimization, looking at the power consumption differences in containers and virtual machines. READ MORE
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3. Application of Fourier Transforms to time-resolved ambient pressure spectroscopy operando studies of CO oxidation over Pt(111)
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/SynkrotronljusfysikAbstract : The study of heterogeneous catalysis has important implications in increasing the efficiency of industrial processes and in reducing the emissions of greenhouse gases from sources such as automobiles. A reaction with high industrial relevance is the oxidation of CO on noble metal catalysts. READ MORE
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4. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon
University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetAbstract : Introduction: The global demand for renewable energy is expected to grow annually due to rising electricity consumption and economic and regulatory incentives. Efficient consumption and management of electricity consumption can support this trend (shifting from fossil resources to renewable resources) and benefit companies economically by reducing peak loads, reducing subscription costs, and protecting companies' power systems and networks. READ MORE
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5. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE