Essays about: "short-term consumption"
Showing result 1 - 5 of 86 essays containing the words short-term consumption.
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1. Energy efficiency and fiscal incentives : A stochastic frontier analysis of Swedish manufacturing sectors 2008-2020
University essay from Umeå universitet/NationalekonomiAbstract : This thesis is a case study of the Swedish manufacturing industry in which I measure how efficiently each sector uses energy (fuel and electricity) as input goods in their production processes, and how significant the impact of Sweden’s energy tax is in regard to energy efficiency. The purpose of this is to analyze energy security and preparedness for short-term demand shocks for electricity, as many ‘mega-investments’ of industrial nature are being planned in Sweden – which are predicted to require the installed capacity of Sweden’s electricity production to almost double by 2045. READ MORE
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2. Reducing corporatescope 1 emissions on a voluntarily basiswith a focus on European biomethane and hydrogen markets
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This research project represents a collaborative effort between E&C Consultants, an international energy procurement consultancy, and aims to address the increasing demand for guidance on scope 1 emissions reduction strategies expressed by their clients. From a procurement perspective, companies are actively seeking alternative commodities, such as biomethane or hydrogen, to substitute their natural gas consumption. READ MORE
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3. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE
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4. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE
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5. Machine learning algorithm for generation and consumption forecasting in an electrical network
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : Power generation and consumption are directly affected by weather, and the weather variables are fluctuating, which means that generation and consumption also fluctuate. These fluctuations can damage equipment or cause other problems in an electrical network. READ MORE
