Load forecasting for energy communities: A novel LSTM-XGBoost hybrid model based on smart meter data

L Semmelmann, S Henni, C Weinhardt - Energy Informatics, 2022 - Springer
Accurate day-ahead load forecasting is an important task in smart energy communities, as it
enables improved energy management and operation of flexibilities. Smart meter data from …

The forecasting of electrical energy consumption in Morocco with an autoregressive integrated moving average approach

M Jamii, M Maaroufi - Mathematical Problems in Engineering, 2021 - Wiley Online Library
The national demand for primary energy has experienced an average increase of almost 5%
in recent years, driven by the growth in electricity consumption, which grew by an average of …

Forecasting the energy consumption in Afghanistan with the ARIMA model

A Mitkov, N Noorzad… - … 16th conference on …, 2019 - ieeexplore.ieee.org
The forecasting of the energy demand has a crucial role in the long-term development of the
electrical network and power management. In this study, the energy consumption in the …

Comparison of hot water draw models integrated within a statistical physically-based model for electrical demand of domestic water heater

GM Binini, JL Munda, OD Dintchev - 2017 IEEE AFRICON, 2017 - ieeexplore.ieee.org
Modelling of electrical consumption has been used to assist utilities for short and long term
planning of electrical production. More recently, electrical consumption modelling has been …

Data preprocessing for load forecasting using artificial neural network

RSF Ferraz, RSF Ferraz, LFS Azeredo… - Simpósio Brasileiro de …, 2020 - sba.org.br
An accurate demand forecasting is essential for planning the electric dispatch in power
system, contributing financially to electricity companies and helping in the security and …

Hybrid ARIMA-deep belief network model using PSO for stock price prediction

SS Ahmed, M Kankar, N Naik… - International Journal of …, 2022 - inderscienceonline.com
Forecast analysis is in very high demand in many fields for improving sales and operation
planning in various industries and enterprises. So, accuracy is a significant factor in …