Automatic time series analysis for electric load forecasting via support vector regression

S Maldonado, A Gonzalez, S Crone - Applied Soft Computing, 2019 - Elsevier
… in a continuous annealing furnace. Ali … smoothing, see, eg, Mbamalu and El-Hawary [47]
for autoregressive models with seasonal factors or Taylor [5] for exponential smoothing methods

A comparative study of time series forecasting methods for short term electric energy consumption prediction in smart buildings

F Divina, M Garcia Torres, FA Gomez Vela… - Energies, 2019 - mdpi.com
… , smoothing techniques and exponential smoothing and … regression (AR) for electric load
forecasting. The resulting strategy … (HVAC) than other buildings that consist of smaller spaces. …

Data analysis-based time series forecast for managing household electricity consumption

NEH Bezzar, L Laimeche, A Meraoumia… - Demonstratio …, 2022 - degruyter.com
… these techniques to model electricity consumption forecasting. … ) DL-based structure to
predict individual loads. In this work, the … Smoothing by MA: the MA smoothing method is a non …

Time-Series Forecasting of an Electric Steel Mill's Power Demand: A Neural Network Approach

S Halbwirth - 2022 - pure.unileoben.ac.at
… In this context, load forecasting is an important tool to know … used to predict the power
demand of an electric arc furnace. By … the predicted and actual batches of the electric arc furnace

A review on time series forecasting techniques for building energy consumption

C Deb, F Zhang, J Yang, SE Lee, KW Shah - Renewable and Sustainable …, 2017 - Elsevier
… of the energy systems like HVAC and lighting etc. Due to these … techniques to forecast monthly
electricity peak load for Dubai. … However, the exponential smoothing method gives a high…

Tackling Uncertainty: Forecasting the Energy Consumption and Demand of an Electric Arc Furnace with Limited Knowledge on Process Parameters

V Zawodnik, FC Schwaiger, C Sorger, T Kienberger - Energies, 2024 - mdpi.com
methods of electricity procurement: standard load profile purchasing and … electricity purchasing
for the day-ahead market. We demonstrated how to conduct a time series forecast of EAF …

Enhancement of electric arc furnace reactive power compensation using Grey–Markov prediction method

H Samet, A Mojallal - IET generation, transmission & …, 2014 - Wiley Online Library
methods for time series prediction. Artificial neural networks based prediction methods can
… In power systems studies, this method is used to predict the yearly peak load power grids [11…

Forecasting irregular seasonal power consumption. An application to a hot-dip galvanizing process

O Trull, JC García-Díaz, A Peiró-Signes - Applied Sciences, 2020 - mdpi.com
… use the techniques usually applied to load prediction efficiently in … In the annealing furnace,
the steel strip is preheated, and then it … time series forecasting methods applied to a pattern of …

[HTML][HTML] Hybrid Deep Neural Network Approaches for Power Quality Analysis in Electric Arc Furnaces

M Panoiu, C Panoiu - Mathematics, 2024 - mdpi.com
… of the grid where an Electric Arc Furnace (EAF) with a very high load operates. An … forecasting
for Electric Arc Furnaces (EAFs). The hybrid model’s ability for analyzing both time-series

An Interpretable Time Series Forecasting Model for Predicting NOx Emission Concentration in Ferroalloy Electric Arc Furnace Plants

Y Seol, S Lee, J Lee, CW Kim, HS Bak, Y Byun, J Yoon - Mathematics, 2024 - mdpi.com
… a deep learning-based time series prediction model to predict NOx emissions from
electric furnaces. For this purpose, data were collected from electric furnace and exhaust gas …