☆ 4.6 Article

Prediction of Construction and Production Safety Accidents in China Based on Time Series Analysis Combination Model

APPLIED SCIENCES-BASEL (2022)

Demand response ability evaluation based on seasonal and trend decomposition using LOESS and S-G filtering algorithms

Di Wu et al.

Summary: This paper studies the daily load and electricity consumption behavior of special transformer users and proposes a demand response ability evaluation method based on seasonal and trend decomposition. The effectiveness of the evaluation method is demonstrated through a case study of peak-shaving demand response for special transformer users in Zhejiang province.

ENERGY REPORTS (2022)

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Article Green & Sustainable Science & Technology

A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management

Mohamed Abdel-Basset et al.

JOURNAL OF CLEANER PRODUCTION (2020)

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Article Thermodynamics

Season specific approach for short-term load forecasting based on hybrid FA-SVM and similarity concept

Mayur Barman et al.

ENERGY (2019)

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Prediction of Construction and Production Safety Accidents in China Based on Time Series Analysis Combination Model

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Demand response ability evaluation based on seasonal and trend decomposition using LOESS and S-G filtering algorithms

A novel plithogenic TOPSIS- CRITIC model for sustainable supply chain risk management

Season specific approach for short-term load forecasting based on hybrid FA-SVM and similarity concept

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