A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

T Ahmad, H Zhang, B Yan - Sustainable Cities and Society, 2020 - Elsevier
The benefits of renewable energy are that it is sustainable and is low in environmental
pollution. Growing load requirement, global warming, and energy crisis need energy …

A review on stability analysis of continuous-time fuzzy-model-based control systems: From membership-function-independent to membership-function-dependent …

HK Lam - Engineering Applications of Artificial Intelligence, 2018 - Elsevier
This paper reviews the stability analysis of continuous-time fuzzy-model-based (FMB)
control systems, with emphasis on state-feedback control techniques, which is an essential …

Forecasting mid-long term electric energy consumption through bagging ARIMA and exponential smoothing methods

EM de Oliveira, FLC Oliveira - Energy, 2018 - Elsevier
In the last decades, the world's energy consumption has increased rapidly due to
fundamental changes in the industry and economy. In such terms, accurate demand …

Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques

Q Wang, S Li, R Li - Energy, 2018 - Elsevier
Better forecasting energy demand in China and India can help those countries meet future
challenges caused by the changes in that demand, as well as inform future global energy …

Factors influencing CO2 emissions in the MENA countries: the roles of renewable and non-renewable energy

A Omri, K Saidi - Environmental Science and Pollution Research, 2022 - Springer
This article seeks to examine the impacts of renewable and non-renewable energy on
carbon dioxide emissions for 14 Middle East and North Africa economies using fully …

Analysis of time series models for Brazilian electricity demand forecasting

CE Velasquez, M Zocatelli, FBGL Estanislau, VF Castro - Energy, 2022 - Elsevier
Electricity forecasting contributes to have an idea of the electricity needs for the expansion of
the electric system, the availability of the power plants according to the installed capacity …

Long-term electricity load forecasting: Current and future trends

KB Lindberg, P Seljom, H Madsen, D Fischer… - Utilities Policy, 2019 - Elsevier
Long-term power-system planning and operation, build on expectations concerning future
electricity demand and future transmission/generation capacities. This paper reviews current …

Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network

Y He, Y Qin, S Wang, X Wang, C Wang - Applied energy, 2019 - Elsevier
The electricity consumption forecasting is a challenging task, because the predictive
accuracy is easily affected by multiple external factors, such as society, economics …

Modeling energy demand—a systematic literature review

PA Verwiebe, S Seim, S Burges, L Schulz… - Energies, 2021 - mdpi.com
In this article, a systematic literature review of 419 articles on energy demand modeling,
published between 2015 and 2020, is presented. This provides researchers with an …

Long term load projection in high resolution for all countries globally

A Toktarova, L Gruber, M Hlusiak, D Bogdanov… - International Journal of …, 2019 - Elsevier
Electricity demand modelling is the central and integral issue for the planning and operation
of power systems. Load projection provides important information for electricity network …