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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 …
and availability since electricity has become the central part of everyday life in this modern …
A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score
Electric power forecasting plays a substantial role in the administration and balance of
current power systems. For this reason, accurate predictions of service demands are needed …
current power systems. For this reason, accurate predictions of service demands are needed …
Artificial intelligence for load forecasting: A stacking learning approach based on ensemble diversity regularization
J Shi, C Li, X Yan - Energy, 2023 - Elsevier
State-of-art artificial intelligence (AI) has made great breakthroughs in various industries.
Ensemble learning mixed with various predictors provides a considerable solution for …
Ensemble learning mixed with various predictors provides a considerable solution for …
Mid-term electricity demand forecasting using improved variational mode decomposition and extreme learning machine optimized by sparrow search algorithm
T Gao, D Niu, Z Ji, L Sun - Energy, 2022 - Elsevier
Mid-term electricity demand forecasting plays an important role in ensuring the operational
safety of the power system and the economic efficiency of grid companies. Most studies …
safety of the power system and the economic efficiency of grid companies. Most studies …
[HTML][HTML] Incorporating air temperature into mid-term electricity load forecasting models using time-series regressions and neural networks
One of the most controversial issues in the mid-term load forecasting literature is the
treatment of weather. Because of the difficulty in obtaining precise weather forecasts for a …
treatment of weather. Because of the difficulty in obtaining precise weather forecasts for a …
[HTML][HTML] 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 …
[HTML][HTML] Neural networks for financial time series forecasting
Financial and economic time series forecasting has never been an easy task due to its
sensibility to political, economic and social factors. For this reason, people who invest in …
sensibility to political, economic and social factors. For this reason, people who invest in …
Short-term load forecasting with an improved dynamic decomposition-reconstruction-ensemble approach
Short-term load forecasting has evolved into an important aspect of power system in safe
operation and rational dispatching. However, given the load series' instability and volatility …
operation and rational dispatching. However, given the load series' instability and volatility …
Forecasting electricity consumption using a novel hybrid model
GF Fan, X Wei, YT Li, WC Hong - Sustainable Cities and Society, 2020 - Elsevier
In recent years, the electricity industry has become increasingly important to social and
economic development. For sustainability of the power industrial business, an accurate …
economic development. For sustainability of the power industrial business, an accurate …
Forecasting the macrolevel determinants of entrepreneurial opportunities using artificial intelligence models
To date, entrepreneurship researchers have tended to avoid state-of-the-art artificial
intelligence techniques; in this paper, we fill that gap. Based on eclectic entrepreneurship …
intelligence techniques; in this paper, we fill that gap. Based on eclectic entrepreneurship …