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Showing result 1 - 5 of 15 essays matching the above criteria.

1. 1. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Humphry Takang Bate; [2023]
   Keywords : ;

   Abstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE

3. 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)

   Author : Magali Mellon; [2022]
   Keywords : Data-driven approach; Electrical load forecasting; Temperature sensitivity; Linear Regression; Time series analysis; SARIMAX;

   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

4. 3. Short-term Forecasting of EV Charging Stations Power Consumption at Distribution Scale

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Milan Clerc; [2022]
   Keywords : Electric Vehicles; Electrical grid; Ancillary services; Time series; Gradient Boosted Trees; Recurrent Neural Networks; ARIMA.; Elbilar; Elnät; Tidsserie; Återkommande neurala nätverk; Maskininlärning.;

   Abstract : Due to the intermittent nature of renewable energy production, maintaining the stability of the power supply system is becoming a significant challenge of the energy transition. Besides, the penetration of Electric Vehicles (EVs) and the development of a large network of charging stations will inevitably increase the pressure on the electrical grid. READ MORE

5. 4. Multivariate Short-term Electricity Load Forecasting with Deep Learning and exogenous covariates

   University essay from Umeå universitet/Institutionen för tillämpad fysik och elektronik

   Author : Nordström Oscar; [2021]
   Keywords : Machine learning; Time series; Deep learning; Forecasting; Short-term electricity load forecasting; Artificial Neural Network;

   Abstract : Maintaining the electricity balance between supply and demand is a challenge for electricity suppliers. If there is an under or overproduction, it entails financial costs and affects consumers and the climate. To better understand how to maintain the balance, can the suppliers use short-term forecasts of electricity load. READ MORE

6. 5. Machine Learning in Electricity Load Forecasting of Prosumer Buildings

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Lu Zhao; [2021]
   Keywords : ;

   Abstract : Short-term load forecasting plays a key role in energy optimizations such as peaking shaving and cost arbitrage. Forecasting the aggregated load of a city or region has been researched for years and produced accurate results with time lead ranging from an hour to a week. READ MORE