Essays about: "System Level Integration"
Showing result 1 - 5 of 282 essays containing the words System Level Integration.
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1. Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. READ MORE
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2. Integrating Waste Heat from Hydrogen Production Into District Heating
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : The aim of this research is to explore the feasibility of the integration of waste heat from electrolyzers within a Combined Heat and Power (CHP) plant and district heating (DH) network and suggest a practical setup for integration. With the escalating emphasis on the development of green hydrogen through electrolysis powered by renewable energy, a substantial amount of waste heat is generated, typically left unused. READ MORE
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3. Interrupting prolonged sitting behavior with gamification: Mobile adaptation of the break reminder desktop app Liopep
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : The present work aims at guiding the design transition of the break reminder desktop application Liopep to a mobile platform. The goal is to improve and adapt the gamified intervention to address sedentary behavior at an organizational level. READ MORE
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4. Taking Climate into Account - Carbon Management Tools for Investment Decisions and Progress Tracking at an Energy Company
University essay from Lunds universitet/InnovationsteknikAbstract : Background: Climate change is becoming a more urgent issue, where global agreements and regulations are putting pressure on companies to calculate and disclose their greenhouse gas emissions to combat the problem. Other driving forces of carbon disclosure for companies include social, economic, and financial pressure, as well as firm specific internal factors. READ MORE
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5. How Venture Capital Could Use Large Language Models to Screen Sustainability Impact Startups
University essay from Lunds universitet/Miljö- och energisystemAbstract : This study investigates the potential of large language models (LLMs), such as ChatGPT, to aid venture capitalists in the screening of startups that maximize sustainability impact. To determine the scope that maximizes impact for venture capitalists' and to identify effective screening criteria, the study utilized theoretical research and interviews. READ MORE