Essays about: "load prediction"
Showing result 1 - 5 of 116 essays containing the words load prediction.
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1. On The Evaluation of District Heating Load Predictions
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : District Heating is a technology with the potential to enable a fossil-free society. However, to realize this potential, some improvements need to be made in order to improve District Heating operation at large, decrease losses in the systems, and thus increase the competitiveness of District Heating as a technology. READ MORE
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2. Impact of Residual Stress on the Warm Pre-Stressing Effect
University essay from KTH/HållfasthetsläraAbstract : Irradiation of a reactor pressure vessel (RPV) causes a shift of the ductile to brittle transition region towards higher temperature regions. In the event of a pressurized thermal shock (PTS), where the temperature drops drastically, the ductile to brittle transition region might be entered for irradiated ferritic steel. READ MORE
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3. Evaluating the Efficient Grid Utilisation Incentive : Through the design of the load flow indicator
University essay from Mälardalens universitet/Industriell ekonomi och organisationAbstract : The Swedish energy markets inspectorate (Ei) regulates the Swedish DSOs revenue cap, to ensure reasonable prices, efficiency, and quality of supply towards the end users. In combination with directives from the European Union and Sweden's environmental goal, Ei implemented efficient grid utilization to the DSOs revenue cap in 2016. READ MORE
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4. Prediction of 5G system latency contribution for 5GC network functions
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : End-to-end delay measurement is deemed crucial for network models at all times as it acts as a pivotal metric of the model’s effectiveness, assists in delineating its performance ceiling, and stimulates further refinement and enhancement. This premise holds true for 5G Core Network (5GC) models as well. READ MORE
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5. Short-horizon Prediction of Indoor Temperature using Low-Order Thermal Networks : A case study of thermal models for heat-system control applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Optimizing and controlling the heating systems in buildings is one way to decrease their load on the power grid, as well as introduce load flexibility to be used in Demand Response (DR) applications. A requirement in occupied buildings is that the thermal comfort of the residents is guaranteed, making the optimization of heating systems a constrained problem with respect to indoor temperature. READ MORE