Essays about: "Future Generation"

Showing result 6 - 10 of 1153 essays containing the words Future Generation.

  1. 6. Business Model Innovation for Energy Communities : A Cross-Comparative Analysis with the Business Model Canvas in the Swedish energy market

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Sohel Abdu; [2024]
    Keywords : Energy Communities; Renewable Energy Systems; Business Model Canvas Innovation; Swedish Energy Policy; Prosumer engagement; Circular Energy Economy; Smart Energy Technology; Sustainable Energy Transition.; Energigemenskaper; Förnybara Energisystem; Affärsmodells Canvas Innovation; Svensk Energipolitik; Prosumer engagemang; Cirkulär Energi Ekonomi; Smart Energiteknik; Hållbar Energi Övergång;

    Abstract : This thesis undertakes a thorough exploration of business models for energy communities, specifically tailored to the unique requirements of the Swedish energy sector. Its objective is to identify and evaluate global business models for energy communities, focusing on their applicability within Sweden's regulatory, market, and socio-cultural contexts. READ MORE

  2. 7. Digital Dashboard for Enhanced Waste Management in the Stockholm Municipality : Bridging Data Insights and Sustainable Practices

    University essay from KTH/Hållbar utveckling, miljövetenskap och teknik

    Author : Youssef Ramy Farouk Fam; [2024]
    Keywords : Waste management; Dashboard; Design; Digitalisation; Data visualization; Waste sorting behavior; Avfallshantering; Dashboard; Design; Digitalisering; Datavisualisering; Källsorteringsbeteende;

    Abstract : The surging global trend in waste generation, currently surpassing 2 billion tons annually in cities,stands as a pressing concern amid escalating climate change threats. This master's thesis aims todesign a digital dashboard tailored to the needs of the Stockholm Municipality's waste managementsystem and its different stakeholders. READ MORE

  3. 8. Log Frequency Analysis for Anomaly Detection in Cloud Environments

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Prathyusha Bendapudi; [2024]
    Keywords : Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

    Abstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE

  4. 9. The Complex Nature of Reading Comprehension for Upper Secondary Students with Autism in EFL Classrooms

    University essay from Malmö universitet/Fakulteten för lärande och samhälle (LS)

    Author : Henrietta Edlund; Rebecka Larsson; [2024]
    Keywords : reading comprehension; inference generation; autism spectrum disorder; English as a foreign language; working memory; scaffolding;

    Abstract : In order to provide equal education to students with autism spectrum disorder (ASD) in Swedish upper secondary English as a foreign language (EFL) classrooms, support must be provided that adapts to their strengths and needs regarding reading comprehension. Multiple studies show that many upper secondary students with ASD in Sweden do not meet the knowledge requirements for passing grades in English, and require support in reading comprehension. READ MORE

  5. 10. Bridging Language & Data : Optimizing Text-to-SQL Generation in Large Language Models

    University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Author : Niklas Wretblad; Fredrik Gordh Riseby; [2024]
    Keywords : Chaining; Classification; Data Quality; Few-Shot Learning; Large Language Model; Machine Learning; Noise; Prompt; Prompt Engineering; SQL; Structured Query Language; Text-to-SQL; Zero-Shot Learning; Noise Identification;

    Abstract : This thesis explores text-to-SQL generation using Large Language Models within a financial context, aiming to assess the efficacy of current benchmarks and techniques. The central investigation revolves around the accuracy of the BIRD-Bench benchmark and the applicability of text-to-SQL models in real-world scenarios. READ MORE