A review on renewable energy and electricity requirement forecasting models for smart grid and buildings
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 …
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 …
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 …
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
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 …
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
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 …
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 …
the electric system, the availability of the power plants according to the installed capacity …
Long-term electricity load forecasting: Current and future trends
Long-term power-system planning and operation, build on expectations concerning future
electricity demand and future transmission/generation capacities. This paper reviews current …
electricity demand and future transmission/generation capacities. This paper reviews current …
Electricity consumption probability density forecasting method based on LASSO-Quantile Regression Neural Network
The electricity consumption forecasting is a challenging task, because the predictive
accuracy is easily affected by multiple external factors, such as society, economics …
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 …
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 …
of power systems. Load projection provides important information for electricity network …