Electricity load forecasting: a systematic review

IK Nti, M Teimeh, O Nyarko-Boateng… - Journal of Electrical …, 2020 - Springer
The economic growth of every nation is highly related to its electricity infrastructure, network,
and availability since electricity has become the central part of everyday life in this modern …

Dynamic correlated effects of electricity prices, biomass energy, and technological innovation in Tunisia's energy transition

S Li, J Cifuentes-Faura, B Talbi, M Sadiq… - Utilities Policy, 2023 - Elsevier
The current paper reviews the interconnectedness between electricity prices, economic
growth, natural gas consumption, biomass energy and technological innovation in Tunisia …

How energy consumption, industrial growth, urbanization, and CO2 emissions affect economic growth in Pakistan? A novel dynamic ARDL simulations approach

KR Abbasi, M Shahbaz, Z Jiao, M Tufail - Energy, 2021 - Elsevier
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 …

Application of variational mode decomposition and chaotic grey wolf optimizer with support vector regression for forecasting electric loads

Z Zhang, WC Hong - Knowledge-Based Systems, 2021 - Elsevier
Accurate electric load forecasting is critical in guaranteeing the efficiency of the load
dispatch and supply by a power system, which prevents the wasting of electricity and …

Revisiting electricity consumption, price, and real GDP: A modified sectoral level analysis from Pakistan

KR Abbasi, J Abbas, M Tufail - Energy Policy, 2021 - Elsevier
A sustainable energy mix leads to stable and long-term economic goals in which sectors
play an essential role. Therefore, the study explores the relationship between electricity …

[HTML][HTML] Energy crisis, firm profitability, and productivity: An emerging economy perspective

J Xu, M Akhtar, M Haris, S Muhammad, OJ Abban… - Energy Strategy …, 2022 - Elsevier
Energy shortage has a significant effect on businesses in developing countries. To
overcome energy crises, such countries are adopting different strategies in their industrial …

Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies

Z Guo, K Zhou, C Zhang, X Lu, W Chen… - … and Sustainable Energy …, 2018 - Elsevier
The proportion of residential electricity consumption in the total energy consumption has
increased rapidly in the past decades all over the world. It is becoming increasingly …

Conventional models and artificial intelligence-based models for energy consumption forecasting: A review

N Wei, C Li, X Peng, F Zeng, X Lu - Journal of Petroleum Science and …, 2019 - Elsevier
Conventional models and artificial intelligence (AI)-based models have been widely applied
for energy consumption forecasting over the past decades. This paper reviews conventional …

Forecasting China's electricity consumption using a new grey prediction model

S Ding, KW Hipel, Y Dang - Energy, 2018 - Elsevier
A modified grey prediction model is employed to accurately forecast China's overall and
industrial electricity consumption. To this end, a novel optimized grey prediction model …

[HTML][HTML] A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction

S Ghimire, T Nguyen-Huy, MS AL-Musaylh, RC Deo… - Energy, 2023 - Elsevier
Predicting electricity demand data is considered an essential task in decisions taking, and
establishing new infrastructure in the power generation network. To deliver a high-quality …