Sökning: "power output forecasting"
Visar resultat 1 - 5 av 24 uppsatser innehållade orden power output forecasting.
1. Improvement of Wind Power Forecasting and Prediction of Production Losses Caused by Ice Formation on Wind Turbine Blades : - A Machine Learning Approach
Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysikSammanfattning : In the ongoing climate crisis, transitioning to renewable energy sources is essential to manage the increasing energy demand. One such renewable energy source is the weather-dependent energy source, wind power. Many wind farms are located in Cold Climate (CC) regions, known for their vast potential for wind power production. LÄS MER
2. Mathematical Model for Inverter Power Output in PV Parks
Master-uppsats, Uppsala universitet/Institutionen för materialvetenskapSammanfattning : Solar photovoltaic (PV) parks have proliferated all over the world as a result of the growing demand for electricity, and especially electricity from renewables. As these parks become larger and complex, it becomes increasingly important to develop accurate and efficient mathematical models that can be used to predict their performance and optimize their design. LÄS MER
3. Algorithmic Approaches to Output Prediction in a Virtual Power Plant
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Virtual Power Plants (VPPs) are an emerging form of technology that allows owners of electricity producing appliances, such as electric vehicles, to partake in a pool of producers of sustainable energy. The Swedish electricity grid owner Svenska Kraftnät hosts a platform where VPPs act as intermediaries between energy producing customers and third party buyers. LÄS MER
4. Meteorological Causes for Wind Power Ramps: A Comparison between four sites in Sweden
Master-uppsats, Uppsala universitet/Luft-, vatten- och landskapsläraSammanfattning : Wind energy as renewable energy will be crucial in ensuring future energy supply. Foundation for agood implementation of wind power output in the electrical grid are wind forecasts. Especially windpower ramp forecasting is important for an effective generation of wind power energy by wind parks. LÄS MER
5. Neural Networks for Modeling of Electrical Parameters and Losses in Electric Vehicle
Magister-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskapSammanfattning : Permanent magnet synchronous machines have various advantages and have showed the most superiorperformance for Electric Vehicles. However, modeling them is difficult because of their nonlinearity. LÄS MER