Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

MS Al-Musaylh, RC Deo, JF Adamowski, Y Li - Advanced Engineering …, 2018 - Elsevier
Accurate and reliable forecasting models for electricity demand (G) are critical in
engineering applications. They assist renewable and conventional energy engineers …

Forecasting performance of time series and regression in modeling electricity load demand

MH Jifri, EE Hassan, NH Miswan - 2017 7th IEEE international …, 2017 - ieeexplore.ieee.org
Electricity load demand modelling is considered as one of the important area among
researchers since electricity are evolving throughout the time. There is a lot of technique to …

[PDF][PDF] Experimental investigation of passively cooled photovoltaic modules on the power output performance

E Ahmad, K Sopian, A Ibrahim, CK Gan… - International Journal of …, 2022 - academia.edu
The power output performance of a photovoltaic (PV) module decreases as the temperature
increases. The increase in module temperature above the standard test conditions (25 ⁰C) …

[PDF][PDF] Medium-term electricity load demand forecasting using holt-winter exponential smoothing and SARIMA in university campus

R Mansor, BJ Zaini, C May - International Journal of Engineering …, 2021 - researchgate.net
This study was conducted to determine the best model in forecasting the electricity load
demand for the next 1, 2, and 3 months in a university in Malaysia by comparing 4 error …

A new hybrid ARAR and neural network model for multi-step ahead wind speed forecasting in three regions of Pakistan

MN Shahzad, S Kanwal, A Hussanan - IEEE Access, 2020 - ieeexplore.ieee.org
Wind is one of the most essential sources of clean, environmental friendly, socially
constructive, economically beneficial, and renewable energy. To intuit the potential of this …

Global Warming in Cameron Highlands: Forecasting its Temperature Level via ARIMA vs ARAR

NR Zamri, NNK Azmi - Journal of Physics: Conference Series, 2021 - iopscience.iop.org
The average global temperature has increased at a rapid rate over the past 50 years leading
to global warming. The impact of climate change can be felt across the continents. In this …

Towards a Novel Congestion Notification Algorithm for a Software-Defined Data Center Networks

T Hai-Anh, S Souihi, A Mellouk - 2021 IFIP/IEEE International …, 2021 - ieeexplore.ieee.org
Nowadays, besides the evident benefits of Data Centers (DC) in terms of information storage
and processing, that posed also a few problems needed to be addressed. The computer …

Temporal Variability, Trends of Climatic Variables and Drought Analysis of Rajshahi and Sylhet District, Bangladesh

F Sunny, MS Miah, MY Mia, RH Rimi - Journal of the Asiatic Society of …, 2020 - banglajol.info
The study was conducted to quantify the change of selected climatic variables (rainfall,
relative humidity, maximum and minimum temperature) over 50 years at Rajshahi and …

Modelling consumer type specific electricity load in Iceland

BH Czock - 2018 - skemman.is
Accurate modelling and forecasting of electricity load is important for many aspects in
managing and maintaining a power system. Methods for short-term, medium-term and long …

Time series performance for electricity load demand in Johor

MH Jifri, EE Hassan, NH Miswan - TENCON 2017-2017 IEEE …, 2017 - ieeexplore.ieee.org
Development country such as Malaysia need a lot of total amount electricity consumption for
economic development and improvement of country. Load demand forecasting is vital to …