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 …
[HTML][HTML] Uses of the digital twins concept for energy services, intelligent recommendation systems, and demand side management: A review
Innovative solutions targeting improvements in the behavior of energy consumers will be
required to achieve desired efficiency in the use of energy. Among other measures for …
required to achieve desired efficiency in the use of energy. Among other measures for …
How energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach
Pakistan has been confronting economic challenges for two decades due to many factors
such as the electricity crisis, among others. It is therefore essential to identify such factors …
such as the electricity crisis, among others. It is therefore essential to identify such factors …
Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China
L Wu, X Gao, Y Xiao, Y Yang, X Chen - Energy, 2018 - Elsevier
The electricity consumption forecasting problem is especially important for policy making in
developing region. To properly formulate policies, it is necessary to have reliable forecasts …
developing region. To properly formulate policies, it is necessary to have reliable forecasts …
Intelligent techniques for forecasting electricity consumption of buildings
The increasing trend in building sector's energy demand calls for reliable and robust energy
consumption forecasting models. This study aims to compare prediction capabilities of five …
consumption forecasting models. This study aims to compare prediction capabilities of five …
A review of electricity demand forecasting in low and middle income countries: The demand determinants and horizons
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 …
well. Therefore, a deeper insight of load forecasting techniques for projecting future …
Another perspective towards energy consumption factors in Pakistan: fresh policy insights from novel methodological framework
Lately, Pakistan's forecast for electricity consumption has shown an increasing tendency
relative to its generating capability, which is concerning for the country's economic and …
relative to its generating capability, which is concerning for the country's economic and …
Statistical and artificial neural networks models for electricity consumption forecasting in the Brazilian industrial sector
F Leite Coelho da Silva, K da Costa… - Energies, 2022 - mdpi.com
Forecasting the industry's electricity consumption is essential for energy planning in a given
country or region. Thus, this study aims to apply time-series forecasting models (statistical …
country or region. Thus, this study aims to apply time-series forecasting models (statistical …
A bottom-up short-term residential load forecasting approach based on appliance characteristic analysis and multi-task learning
S Wang, X Deng, H Chen, Q Shi, D Xu - Electric Power Systems Research, 2021 - Elsevier
Residential load forecasting has been an intractable problem due to the small load scale
and strong randomness of residents' power consumption behaviors. The traditional methods …
and strong randomness of residents' power consumption behaviors. The traditional methods …
Predictive analysis of quarterly electricity consumption via a novel seasonal fractional nonhomogeneous discrete grey model: A case of Hubei in China
WZ Wu, H Pang, C Zheng, W Xie, C Liu - Energy, 2021 - Elsevier
Accurate electricity consumption forecasting plays a crucial role in electric power systems
and is a challenging task due to its complicated mechanism induced by multiple influential …
and is a challenging task due to its complicated mechanism induced by multiple influential …