Forecasting electricity load demand using hybrid exponential smoothing-artificial neural network model [PDF]
IJAIN (International Journal of Advances in Intelligent Informatics), 2016 Short-term electricity load demand forecast is a vital requirements for power systems. This research considers the combination of exponential smoothing for double seasonal patterns and neural network model.
Winita Sulandari +3 more
doaj +4 more sources
Measurement-based exponential recovery load model: Development and validation [PDF]
Dyna, 2015 El modelado de carga e s una tarea importante en el análisis de estabilidad y el control de un sistema de potencia. Teniendo en cuenta esto, en este artículo se presenta el d esarrollo de modelos dinámicos de carga empleando una estrategia basada en
Luis Rodríguez-García +2 more
doaj +6 more sources
Exponential to ZIP and ZIP to exponential load model conversion: Methods and error [PDF]
IET Generation, Transmission & Distribution, 2021 This paper presents several methods for performing two types of static load model conversion: exponential to ZIP & ZIP to exponential model conversion.
Madis Leinakse, Jako Kilter
doaj +2 more sources
Short term load forecasting technique based on the seasonal exponential adjustment method and the regression model [PDF]
Energy Conversion and Management, 2013 Abstract For an energy-limited economy system, it is crucial to forecast load demand accurately. This paper devotes to 1-week-ahead daily load forecasting approach in which load demand series are predicted by employing the information of days before being similar to that of the forecast day.
Yao Dong, Jianzhou Wang, Xiaoxiao Lu
exaly +5 more sources
Cold Load Pickup Model Adequacy for Power System Restoration Studies [PDF]
Energies, 2022 When a grid section is re-energized after an interruption, the load behaviour can be significantly different from normal operation. In this manuscript, the impact of the phenomenon—known as cold load pickup—is investigated by evaluating 31 time series ...
Christian Hachmann +2 more
doaj +2 more sources
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2022 This work presents a hybrid and hierarchical deep learning model for mid-term load forecasting. The model combines exponential smoothing (ETS), advanced Long Short-Term Memory (LSTM) and ensembling. ETS extracts dynamically the main components of each individual time series and enables the model to learn their representation.
Grzegorz Dudek +2 more
exaly +4 more sources
Short-Term Power Load Forecasting Method Based on Improved Exponential Smoothing Grey Model [PDF]
Mathematical Problems in Engineering, 2018 In order to improve the prediction accuracy, this paper proposes a short-term power load forecasting method based on the improved exponential smoothing grey model. It firstly determines the main factor affecting the power load using the grey correlation analysis. It then conducts power load forecasting using the improved multivariable grey model.
Jianwei Mi +3 more
openaire +3 more sources
Regression Model-Based Short-Term Load Forecasting for Load Despatch Centre [PDF]
Journal of Applied Engineering and Technological Science, 2023 Forecasting load is an integral part of the planning, operation, and control of power systems. This paper is part of a research effort aimed at developing better energy demand forecasting models for load dispatch centers (LDCs) in Indian states as part ...
Saikat Gochhait, Deepak Sharma
doaj +3 more sources
COVID-19: a simple statistical model for predicting intensive care unit load in exponential phases of the disease [PDF]
Scientific Reports, 2021 AbstractOne major bottleneck in the ongoing COVID-19 pandemic is the limited number of critical care beds. Due to the dynamic development of infections and the time lag between when patients are infected and when a proportion of them enters an intensive care unit (ICU), the need for future intensive care can easily be underestimated.
Matthias Ritter +4 more
openaire +8 more sources
An improved exponential model for charge and discharge behavior of printed supercapacitor modules under varying load conditions [PDF]
Journal of Power Sources, 2022 Peer ...
Pourkheirollah, Hamed +3 more
openaire +4 more sources