Essays about: "storage factors"

Showing result 1 - 5 of 318 essays containing the words storage factors.

  1. 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 ekosystemvetenskap

    Author : Nikolaos Staikos; [2024]
    Keywords : Physical Geography; Ecosystem Analysis; Bike-sharing demand; Machine learning; Deep learning; Spatial regression; Graph Convolutional Neural Network; Multiple Linear Regression; Multilayer Perceptron Regressor; Support Vector Machine; Random Forest Regressor; Urban environment; Micro-mobility; Station planning; Geomatics; Earth and Environmental Sciences;

    Abstract : 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

  2. 2. Peak Load Shaving Strategies of an Office Building : A Case Study at AirSon

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Azin Farzam; [2024]
    Keywords : Shifting Peak Load; Electricity Reduction; Measuring Peak Load; Electricity Efficiency; Building Management System; Electricity Consumption.;

    Abstract : 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

  3. 3. Potential and Limitations of the Sketch Map Tool in the International Red Cross Red Crescent Movement

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Kimon Letzner; [2024]
    Keywords : Disaster risk reduction; Participatory action research; Community risk mapping; International Red Cross Red Crescent Movement; Colombia; Technology and Engineering;

    Abstract : In disaster risk management, participatory mapping (PM) closes spatial data gaps in communities by integrating local risk knowledge. The thesis examined the potential and limitations of the Sketch Map Tool (SMT) as a PM tool for community-based disaster risk reduction (DRR) through an International Red Cross Red Crescent Movement case study. READ MORE

  4. 4. IMPLICATION FOR THE UNIVERSITY OF GOTHENBURG TO ALIGN WITH THE GOVERNMENT’S TARGET REGARDING CLIMATE NEUTRALITY BY 2045 - Scenarios and Consequences

    University essay from Göteborgs universitet / Institutionen för biologi och miljövetenskap

    Author : Nafiseh Kazemi Ashtiani; [2023-06-21]
    Keywords : Climate Neutrality; GHG emissions; higher education institutions HEIs ; Net Zero emission; carbon footprint; carbon capture and storage CCS ;

    Abstract : It is widely acknowledged that one of the most significant global challenges of the 21 st century is climate change. In its Fifth Assessment Report (2014), the Intergovernmental Panel on Climate Change (IPCC) described the present extent of the problem and the hazards involved, citing greenhouse gas emissions from human activities as the primary contributor to global warming since the mid-20th century. READ MORE

  5. 5. Navigating the Risks of Dark Data : An Investigation into Personal Safety

    University essay from Linnéuniversitetet/Institutionen för informatik (IK)

    Author : Anshu Gautam; [2023]
    Keywords : Dark data; Hidden data; Big data; Unstructured data; Missing data; Privacy; Cybersecurity; Personal data; Data storage; Consumer protection;

    Abstract : With the exponential proliferation of data, there has been a surge in data generation fromdiverse sources, including social media platforms, websites, mobile devices, and sensors.However, not all data is readily visible or accessible to the public, leading to the emergence ofthe concept known as "dark data. READ MORE