Energy systems planning: A survey on models for integrated power and natural gas networks coordination
M Farrokhifar, Y Nie, D Pozo - Applied Energy, 2020 - Elsevier
Over the last years, gas-fired power capacity investments in electricity networks have
increased in many countries due to its low-rate of greenhouse gas emissions and the …
increased in many countries due to its low-rate of greenhouse gas emissions and the …
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 demand during pandemic times: The case of the COVID-19 in Spain
I Santiago, A Moreno-Munoz, P Quintero-Jiménez… - Energy policy, 2021 - Elsevier
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 …
exogenous factors to which the generation system must accordingly respond through utility …
Impacts of climate change on electricity demand in China: An empirical estimation based on panel data
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 …
feedback model is used to estimate the impacts of climatic factors on electricity demand in …
[HTML][HTML] 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 electric energy consumption forecasting via artificial cooperative search algorithm
This study mathematically formulates the effects of socio-economic indicators (gross
domestic production, population, stock index, export, and import) on Iran's electric energy …
domestic production, population, stock index, export, and import) on Iran's electric energy …
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 …
A univariate time series methodology based on sequence-to-sequence learning for short to midterm wind power production
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 …
Electricity is a non-storable commodity for that reason, it is very important to have a strong …
Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road
Fully understanding spatiotemporal patterns of electric power consumption (EPC) is one of
the key questions related to sustainable socioeconomic and environmental development in …
the key questions related to sustainable socioeconomic and environmental development in …
Predicting long-term monthly electricity demand under future climatic and socioeconomic changes using data-driven methods: A case study of Hong Kong
Data-driven methods, such as artificial neural networks (ANNs), support vector regression
(SVM), Gaussian process regression (GPR), multiple linear regression (MLR), decision trees …
(SVM), Gaussian process regression (GPR), multiple linear regression (MLR), decision trees …