Essays about: "Heat Load Forecasting"
Showing result 1 - 5 of 7 essays containing the words Heat Load Forecasting.
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1. Forecasting of Heat Pump Power Consumption using Neural Networks
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : With the increase in electricity generation from renewable sources over recent years, the demand for ancillary services providing balancing support in the grid has risen. Demand side regulation can be performed by regulating consumption of some household devices, which can act as a virtual battery that can be loaded and unloaded into the grid. READ MORE
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2. What would be the highestelectrical loads with -20°C inStockholm in 2022 ? : A study of the sensitivity of electrical loads to outdoor temperature in Stockholm region.
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In the last 10 years, no significant increase in the peak electricity consumption of the region of Stockholm has been observed, despite new customers being connected to the grid. But, as urbanization continues and with electrification being a decisive step of decarbonization pathways, more growth is expected in the future. READ MORE
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3. Analysis of Forecasts for District Heat Production using Different Models for Seasonal Partitions
University essay from Lunds universitet/Matematisk statistikAbstract : District heating is a common means of space and hot water heating in Sweden. However, the demand for heating is not the same at all times. On a yearly basis more heat is required during winter, while next to none is needed in summer. READ MORE
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4. Adaptive Algorithm for Forecasting of Medium-term District Heating Demand
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : District heating is one of the most sustainable ways of producing and distributing heat to residential and industrial buildings. District heating load forecasting in the medium- to long-term have an important role in production planning and the strategic development of the district heating market. READ MORE
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5. Short-Term Heat Load Forecasting in District Heating Systems : A Comparative Study of Various Forecasting Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Short term heat load forecasts are vital for optimal production planning and commitment of generation units. The generation utility also bares a balance responsibility toward the electricity market as a result of CHP generation. Sub-optimal load forecasts can lead to high costs relating to unit commitment, fuel usage and balancing costs. READ MORE
