A review of electricity demand forecasting in low and middle income countries: The demand determinants and horizons

AA Mir, M Alghassab, K Ullah, ZA Khan, Y Lu, M Imran - Sustainability, 2020 - mdpi.com
With the globally increasing electricity demand, its related uncertainties are on the rise as
well. Therefore, a deeper insight of load forecasting techniques for projecting future …

Time series ARIMA model for prediction of daily and monthly average global solar radiation: The case study of Seoul, South Korea

MH Alsharif, MK Younes, J Kim - Symmetry, 2019 - mdpi.com
Forecasting solar radiation has recently become the focus of numerous researchers due to
the growing interest in green energy. This study aims to develop a seasonal auto-regressive …

Forecasting energy demand in isolated rural communities: A comparison between deterministic and stochastic approaches

Á Herraiz-Cañete, D Ribó-Pérez… - Energy for Sustainable …, 2022 - Elsevier
Off-grid renewable energy grids will contribute to the achievement of SDG 7 on universal
energy access, especially in off-grid communities. But the scarcity of resources for …

[HTML][HTML] Forecasting future electric power consumption in Busan New Port using a deep learning model

G Kim, G Lee, S An, J Lee - The Asian Journal of Shipping and Logistics, 2023 - Elsevier
As smart and environmentally friendly technologies and equipment are introduced in the sea
port industry, electric power consumption is expected to rapidly increase. However, there is …

[HTML][HTML] Probability prediction of short-term user-level load based on random forest and kernel density estimation

L Zhang, S Lu, Y Ding, D Duan, Y Wang, P Wang… - Energy Reports, 2022 - Elsevier
With the development of smart grids and the popularization of smart meters, grid companies
have obtained a large amount of fine-grained user electricity consumption data, making it …

Interpretable modeling for short-and medium-term electricity demand forecasting

K Hirose - Frontiers in Energy Research, 2021 - frontiersin.org
We consider the problem of short-and medium-term electricity demand forecasting by using
past demand and daily weather forecast information. Conventionally, many researchers …

Electricity consumption forecasting using time series analysis

PK Jain, W Quamer, R Pamula - … in Computing and Data Sciences: Second …, 2018 - Springer
The demand for electricity has been continuously increasing over the years. To understand
the future consumption, a good predictive model is entailed. The ARIMA models have been …

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 …

PAKMamba: Enhancing electricity load forecasting with periodic aggregation and Koopman analysis

T Shen, W Shi, J Lei, Q Li - Computers and Electrical Engineering, 2025 - Elsevier
In recent years, with the increasing proportion of renewable energy in power systems, the
difficulty of system dispatching has also increased. Accurate power load forecasting is an …

Site selection optimization for 100% renewable energy sources

O Derse, E Yilmaz - Environmental Science and Pollution Research, 2024 - Springer
The increase in the use of Renewable Energy Sources (RES) provides many advantages
such as reducing the environmental problems and sustainability. In this study, a long-term …