Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"Energy prediction"”.
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Physics-guided Machine Learning Approaches for Applications in Geothermal Energy Prediction
In the area of geothermal energy mapping, scientists have used physics-based models and bottom-hole temperature measurements from oil and gas wells to generate heat flow and temperature-at-depth maps. Given the uncertainties and simplifying assumptions associated with the current state of …
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Real-time household energy prediction : approaches and applications for a blockchain-backed smart grid
… solar panels, and increasingly aordable local energy storage, energy grid systems are facing a new set of challenges that they were not originally designed to support. Energy systems of the near future must be capable of supporting these new technologies, but new technology can also be …
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Innovative Model based on the Irradiance-Temperature Fitting of Equivalent Circuit Parameters for Commercial Photovoltaic Modules towards Accurate Power and Energy Prediction
L'abstract è presente nell'allegato / the abstract is in the attachment
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Multi-fidelity Modeling and Reinforcement Learning for Energy Optimal Planning
Modeling the energy consumption of a quadrotor involves complex electrical and physical dynamics, making it difficult to optimize over. We present a sequence-to-sequence multi-fidelity Gaussian process (MFGP) to learn a data-driven model to predict the energy required to fly a given vehicle …
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Spin-Aware Neural Network Interatomic Potential for Atomistic Simulation
… relationships between geometry, spin, and energy. When applied to a broad dataset with high variance in both geometry and spin, the new bases achieve a 4x reduction in energy prediction error compared to the spin-agnostic Behler- Parrinello (BP) framework, and 5x using both the new bases …
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A Solar-Powered and Multi-Tiered Mesh Node for a Portable In Situ Emergency Response System
… the tiered design leverages hardware-assisted energy measurements, a wakeup controller to balance energy harvested from solar panels with energy consumed by the system, and a future-energy prediction algorithm, in order to provide natural disaster survivors with up-to-date emergency relief …
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Adaptive Energy Management Scheme in Real-Time Energy Harvesting Embedded Systems
… of this thesis was to develop an online adaptive energy management scheme for energy harvesting embedded systems. Two energy prediction schemes were used, namely Exponentially Weighted Moving Average (EWMA) and Adaptive Forward Prediction (AFP), to schedule all the tasks with least deadline miss …
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Comparison of simplified models of urban climate for improved prediction of building energy use in cities
… is a requisite tool in the design of low-energy buildings, yet, definition of weather boundary conditions during simulation of urban buildings suffers from a lack of data that accounts for the UHI effect. To overcome barriers preventing the use of more representative climate data in …
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Modelling on-domestic buildings energy performance using machine learning methods, a case study of the UK
… has setregulations to decrease the amount of energy take-up by buildings. It is apparent from the seminal literature that deep energy retrofit is the primary solution to achieve that goal. Due to the size and complexity of non-domestic buildings, finding optimum plans is cumbersome. To that …
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Building effectiveness communication ratios (BECs): an integrated ‘life-cycle’ methodology for mitigating energy-use in buildings
… innovation and leading to inadequate energy efficiency in the building stock. This has increased the motivation to move design practices towards a more ‘performance-based’ model in order to mitigate inflated levels of energy-use consumed by the building stock. A performance based model …
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Quantification of budget improvement methods for utilities at platinum mines in South Africa
… costs are forecasted in the form of an energy, water and utility cost budget. The purpose of this study is to review the literature to find energy budget improvement methods. A method for evaluating the impact of the budget improvements was constructed. The case studies aimed to isolate …
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Towards an Intelligent Energy Monitoring System for Autonomous Underwater Vehicles
… an approach to characterizing the uncertainty in energy use toward development of a real-time intelligent energy monitoring system for an autonomous under- water vehicle (AUV). The purpose of the intelligent energy monitoring system is to estimate current energy onboard the AUV, estimate energy …
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Sustainability consideration in machining of 2½d milled features
… address the financial pressure from increasing energy price and the political pressure from legislation on reduction of environmental impact. The motivation of this research is to reduce the environmental impact caused by high energy demand and consumption on the manufacturing process. This …
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Revitalizing Simulations of Colloidal and Interfacial Systems: From Atomistic Trajectories to Data-Centric Insights
… in asphaltene aggregation, and adsorption energy prediction. While each theme addresses unique challenges, they all contribute to quantitative understanding of interactions across scales, integrating structural, thermodynamic, and energetic perspectives to establish governing principles for …
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Machine learning for human-centered and value-sensitive building energy efficiency
Enhancing building energy efficiency is one of the best strategies to reduce energy consumption and associated CO2 emissions. Recent studies emphasized the importance of occupant behavior as a key means of enhancing building energy efficiency. However, it is also critical that while we strive to …
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The Development of an Economic Feasibility Decision Support System for a Building Automation and Control System
The global transition toward sustainable energy practices has amplified the role of Building Automation and Control Systems (BACS) as a means of reducing building energy consumption, improving operational efficiency, and enhancing occupant comfort. Despite these advantages, the integration of BACS …
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Machine Learning Applications in Blockchain for Renewable Energy Systems
The transition towards decentralized renewable energy systems offers a critical solution to the "Energy Trilemma," yet its practical implementation in emerging economies such as South Africa is obstructed by grid instability, inaccurate demand planning, and the lack of secure local market …
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A multiscale study of atomic interactions in the electrochemical double layer applied to electrocatalysis
… layer, and their significance for accurate prediction of reaction kinetics in electrocatalysis. First, a kinetic model of the oxygen reduction reaction (ORR) on platinum, in connexion with first-principles techniques, is developed to illustrate that a self-consistent description of kinetics …
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Deep Learning for Unstructured Data by Leveraging Domain Knowledge
… than feature-driven algorithms for formation energy prediction. However, the superiority can not be reproduced on band gap prediction. We also discovered that our proposed simple shallow neural networks perform comparably with the state-of-the-art deep neural networks.
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Development and validation of prediction equations for the metabolizable energy content of distillers dried grains with solubles from different sources for pigs
… equations. The root mean square error of prediction (RMSEP) and mean percent bias were used as criteria to evaluate the accuracy of the equations. The major finding was that the most accurate prediction of ME of DGGS was achieved when the same analytical laboratory was used both for the …