Essays about: "short-term operation"

Showing result 1 - 5 of 59 essays containing the words short-term operation.

  1. 1. On The Evaluation of District Heating Load Predictions

    University essay from Lunds universitet/Institutionen för energivetenskaper

    Author : Herman Hansson; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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

  3. 2. Battery Capacity Prediction Using Deep Learning : Estimating battery capacity using cycling data and deep learning methods

    University essay from Mälardalens universitet/Framtidens energi

    Author : Josefin Rojas Vazquez; [2023]
    Keywords : Battery management system; Lithium-ion batteries; battery degradation mechanisms; battery cycle life; Electrical impedance spectroscopy; Capacity estimation; Incremental capacity analysis; Deep learning models; Equivalent circuit model; Long short-term memory; Feedforward neural network; Conventional neural network; multi-channel data; Incremental capacity analysis;

    Abstract : The growing urgency of climate change has led to growth in the electrification technology field, where batteries have emerged as an essential role in the renewable energy transition, supporting the implementation of environmentally friendly technologies such as smart grids, energy storage systems, and electric vehicles. Battery cell degradation is a common occurrence indicating battery usage. READ MORE

  4. 3. Unsupervised Anomaly Detection in Multivariate Time Series Using Variational Autoencoders

    University essay from Lunds universitet/Matematik LTH

    Author : Elias Aronsson; [2023]
    Keywords : Anomaly Detection; Variational Autoencoder VAE ; Unsupervised Learning; Machine learning; AI; Technology and Engineering;

    Abstract : In this master’s thesis, a novel unsupervised anomaly detection tool was developed in collaboration with Sandvik Rock Processing to assist engineers and experts in analyzing large amounts of sensor data from cone crushers used in the stone crushing industry. The tool focuses on analyzing power, pressure, and CSS sensor data. READ MORE

  5. 4. The influence of short-term forecast errors in energy storage sizing decisions

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Adrian Bagger Toräng; Viktor Rönnblom; [2022]
    Keywords : Energy storage system; Pumped hydro energy storage; Electricity price forecast; Forecast error; Sizing; Robust decision making; Energilagringssystem; Pumpkraftverk; Elprisprognos; Prognosfel; Dimensionering; Robust beslutstagande;

    Abstract : Pumped hydro energy storages commonly plan their operations on short-term forecasts of the upcoming electricity prices, meaning that errors in these forecasts would entail suboptimal operations of the energy storage. Despite the high investment costs of pumped hydro energy storages, few studies take a holistic approach to the uncertainties involved in such investment decisions. READ MORE

  6. 5. Day-ahead Grid Loss Forecasting : A study of linear and non-linear models when modelling electrical grid losses

    University essay from Uppsala universitet/Avdelningen för systemteknik

    Author : Alicia Söderlind; [2022]
    Keywords : Electrical grid losses; Mathematical modelling; ARIMAX; SARIMAX; Neural Networks;

    Abstract : Accurate day-ahead grid loss forecasts are, among other things, essential to determine the electricity price for the upcoming day. The more accurate forecast, the closer the trading on the 'day-ahead' electricity market can become the actual operation the next day, which dedcrease the need for correcting production on the balancing market. READ MORE