Essays about: "Short Term Load Forecasting"
Showing result 11 - 15 of 15 essays containing the words Short Term Load Forecasting.
-
11. Time series Forecast of Call volume in Call Centre using Statistical and Machine Learning Methods
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Time series is a collection of points gathered at regular intervals. Time series analysis explores the time correlations and tries to model it according to trend and seasonality. One of the most relevant tasks, in time series analysis, is forecasting future values, which is considered fundamental in many real-world scenarios. READ MORE
-
12. Recurrent neural networks in electricity load forecasting
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : In this thesis two main studies are conducted to compare the predictive capabilities of feed-forward neural networks (FFNN) and long short-term memory networks (LSTM) in electricity load forecasting. The first study compares univariate networks using past electricity load, as well as multivariate networks using past electricity load and air temperature, in day-ahead load forecasting using varying lookback periods and sparsity of past observations. READ MORE
-
13. Feature Selection Methods with Applications in Electrical Load Forecasting
University essay from Lunds universitet/Matematik LTHAbstract : The purpose of this thesis is two-fold: implement and evaluate a method, the Fast Correlation-Based Filter (FCBF) by Yu et al., for feature selection applied on a meteorological data set consisting of 19 weather variables from 606 locations in Scandinavia, and investigate whether geography can be exploited in the search for relevant features. READ MORE
-
14. Modeling the evolution of wildfire : an analysis of short term wildfire events and their relationship to meteorological variables
University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskapAbstract : Wildfire events are expected to increase with the changing climate; thereby increasing atmospheric, economic, and anthropogenic impacts. Gaining a real-time understanding of the evolution of wildfire events can benefit regional meteorology models, global atmospheric models, and hazard warning systems. READ MORE
-
15. Short Term Load Forecasting with Neural Networks
University essay from Lunds universitet/Matematisk statistikAbstract : .... READ MORE
