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 10 of 10 for “"Demand Flexibility"”.
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Exploiting Building Demand Flexibility Through Machine Learning for Building-to-grid Integration
<p>Demand flexibility – the ability to adjust a building's load profile across different timescales – is a key aspect of the ongoing effort to increase interconnectivity between buildings and the power grid. By harnessing their demand flexibility, buildings can provide significant benefits to the …
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Integration challenges for fast-charging infrastructure to support electric vehicle adoption
… such stations, if sized to support anticipated demand, may cause operational difficulties on the power grid. Using a spatially resolved model of the power transmission network and a detailed market simulator, we characterize the effects of large-scale EV fast-charging on the Texas ERCOT system. …
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Cross-trained workforce planning models
… as an effective method for increasing workforce flexibility in the face of uncertain demand. Despite recently receiving substantial attention in workforce planning literature, a number of challenges towards making the best use of cross-training remain. Most notably, approaches to automating the …
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A Deep Learning-based Dynamic Demand Response Framework
… grid operation through applications such as the Demand Response (DR). DR is an application through which electric power consumption during the peak demand periods can be curtailed. DR applications ensure an economic and stable operation of the electric grid by eliminating grid stress conditions. …
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The Effect of Decarbonization Factors on Deeply Decarbonized Electrical Systems: Texas Case Study
… and storage technologies; electrification level; demand flexibility; demand response; and the coupling of the power system with the industry to supply electricity-driven hydrogen supply to supply process heat. By means of a Capacity Expansion Model, GenX, and a design of experiments (DOE) …
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Electricity system planning with distributed energy resources : new methods and insights for economics, regulation, and policy
… resources (DERs), flexible and price-responsive demand, and distribution network losses and reinforcement costs. New methods are developed and demonstrated to derive the aggregate impact of demand and DERs on distribution network losses and upgrade costs from detailed distribution network …
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Co-optimization of Energy and Interruptible Load Reserve for a Strategic Major Consumer of Electricity
This thesis examines industrial demand-side management over a co-optimized energy and reserve market from the perspective of a strategic consumer with flexibility in demand and ability to offer interruptible load. Industrial demand response is the participation of large consumers in electricity …
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Vision-Based Solar Forecasting with Deep Learning
… energy, including improved storage systems or demand flexibility, require accurate estimations of the future solar energy yield. At a short-term scale, the main source of variability can be modelled by observing the cloud cover dynamics from sky cameras or satellites. Besides traditional …
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Arbitrations Involving States And Foreign Private Parties: A Study In Contemporary Legal Process
… tensions inherent in most "mixed" arbitrations demand flexibility in the application of procedural and substantive rules, and require an approach to dispute resolution that emphasises the value of compromise. As such, the awards that emerge from mixed arbitrations are likely to be idiosyncratic …
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Optimal energy management for a grid-tied solar PV-battery microgrid: A reinforcement learning approach
… should continue. The steady growth of energy demand because of population growth, as well as heightened worries about the number of anthropogenic gases released into the atmosphere and deployment of advanced grid technologies, has spurred the penetration of renewable energy resources (RERs) at …