Essays about: "Multivariate Networks"

Showing result 16 - 20 of 47 essays containing the words Multivariate Networks.

1. 16. Time Series forecasting of the SP Global Clean Energy Index using a Multivariate LSTM

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

   Author : Klara Larsson; Freja Ling; [2021]
   Keywords : Machine learning; clean energy; neural networks; stock market; LSTM; time series; multivariate LSTM; correlation.;

   Abstract : Clean energy and machine learning are subjects that play significant roles in shaping our future. The current climate crisis has forced the world to take action towards more sustainable solutions. Arrangements such as the UN’s Sustainable Development Goals and the Paris Agreement are causing an increased interest in renewable energy solutions. READ MORE

3. 17. Multivariate Time Series Data Generation using Generative Adversarial Networks : Generating Realistic Sensor Time Series Data of Vehicles with an Abnormal Behaviour using TimeGAN

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

   Author : Sofia Nord; [2021]
   Keywords : Time Series Data Generation; Generative Adversarial Network; Deep Neural Network; Data Augmentation; Synthetic Data Generation; Generering av Tidsseriedata; Generativa Motstridande Nätverk; Djupa Neurala Nätverk; Dataökning; Syntetisk Datagenerering;

   Abstract : Large datasets are a crucial requirement to achieve high performance, accuracy, and generalisation for any machine learning task, such as prediction or anomaly detection, However, it is not uncommon for datasets to be small or imbalanced since gathering data can be difficult, time-consuming, and expensive. In the task of collecting vehicle sensor time series data, in particular when the vehicle has an abnormal behaviour, these struggles are present and may hinder the automotive industry in its development. READ MORE

4. 18. 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

5. 19. Neural Ordinary Differential Equations for Anomaly Detection

   University essay from KTH/Matematisk statistik

   Author : Jón Hlöðver Friðriksson; Erik Ågren; [2021]
   Keywords : Anomaly detection; Neural ordinary differential equations; Statistical modelling; Autoregression; Variational autoencoder; Multivariate time series; Anomalidetektion; Neurala ordinära differentialekvationer; Statistisk modellering; Autoregression; Variational autoencoder; Multivariat tidsserie;

   Abstract : Today, a large amount of time series data is being produced from a variety of different devices such as smart speakers, cell phones and vehicles. This data can be used to make inferences and predictions. Neural network based methods are among one of the most popular ways to model time series data. READ MORE

6. 20. Synthesis of sequential data

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Joel Viklund; [2021]
   Keywords : Synthetic data; TCN; Temporal convolutional networks; TimeGAN;

   Abstract : Good generative models for short time series data exist and have been applied for both data augmentation and privacy protection purposes in the past. A common theme for existing generative models is that they all use a recurrent neural network (RNN) architecture, which makes the models limited regarding the length of the sequences. READ MORE