[PDF][PDF] Methods and models for electric load forecasting: a comprehensive review

MA Hammad, B Jereb, B Rosi… - Logist. Sustain …, 2020 - intapi.sciendo.com
Electric load forecasting (ELF) is a vital process in the planning of the electricity industry and
plays a crucial role in electric capacity scheduling and power systems management and …

A systematic review of statistical and machine learning methods for electrical power forecasting with reported mape score

E Vivas, H Allende-Cid, R Salas - Entropy, 2020 - mdpi.com
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 …

Short term load forecasting based on feature extraction and improved general regression neural network model

Y Liang, D Niu, WC Hong - Energy, 2019 - Elsevier
Along with the deregulation of electric power market as well as aggregation of renewable
resources, short term load forecasting (STLF) has become more and more momentous …

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 …

Ant lion optimization algorithm for renewable distributed generations

ES Ali, SM Abd Elazim, AY Abdelaziz - Energy, 2016 - Elsevier
Renewable sources can provide a clean and smart solution to the increased demands.
Thus, Photovoltaic (PV) system and Wind Turbine (WT) are considered here as sources of …

Forecasting number of ISO 14001 certifications of selected countries: application of even GM (1, 1), DGM, and NDGM models

M Ikram, A Mahmoudi, SZA Shah, M Mohsin - Environmental Science and …, 2019 - Springer
The adaptability of ISO 14001 is considered as one of the most useful tools for
environmental sustainability and worldwide competitive advantage; however, the future of …

Forecasting energy demand in China and India: Using single-linear, hybrid-linear, and non-linear time series forecast techniques

Q Wang, S Li, R Li - Energy, 2018 - Elsevier
Better forecasting energy demand in China and India can help those countries meet future
challenges caused by the changes in that demand, as well as inform future global energy …

Improving the Bi-LSTM model with XGBoost and attention mechanism: A combined approach for short-term power load prediction

Y Dai, Q Zhou, M Leng, X Yang, Y Wang - Applied Soft Computing, 2022 - Elsevier
Short term power load forecasting plays an important role in the management and
development of power systems with a focus on the reduction in power wastes and economic …

An advanced framework for net electricity consumption prediction: Incorporating novel machine learning models and optimization algorithms

X Li, Z Wang, C Yang, A Bozkurt - Energy, 2024 - Elsevier
In recent years, the escalating demand for electric energy has underscored the need for
robust prediction models capable of accurately anticipating consumption patterns. The …

Short‐term power load forecasting based on multi‐layer bidirectional recurrent neural network

X Tang, Y Dai, T Wang, Y Chen - IET Generation, Transmission …, 2019 - Wiley Online Library
Accurate power load forecasting is of great significance to ensure the safety, stability, and
economic operation of the power system. In particular, short‐term power load forecasting is …