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 its typical load pattern are usually affected by many endogenous and exogenous factors to which the generation system must accordingly respond through utility …
Electricity sector is sensitive to climate change. In this study, a fixed-effect regression feedback model is used to estimate the impacts of climatic factors on electricity demand in …
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 …
This study mathematically formulates the effects of socio-economic indicators (gross domestic production, population, stock index, export, and import) on Iran's electric energy …
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 …
Y Akbal, KD Ünlü - Renewable Energy, 2022 - Elsevier
The biggest wind farm of Turkey is placed at Manisa which is located in the Aegean Region. Electricity is a non-storable commodity for that reason, it is very important to have a strong …
Fully understanding spatiotemporal patterns of electric power consumption (EPC) is one of the key questions related to sustainable socioeconomic and environmental development in …
Data-driven methods, such as artificial neural networks (ANNs), support vector regression (SVM), Gaussian process regression (GPR), multiple linear regression (MLR), decision trees …