Research on Substation Project Cost Prediction Based on Sparrow Search Algorithm Optimized BP Neural Network

Article Computer Science, Artificial Intelligence

A novel structural adaptive discrete grey prediction model and its application in forecasting renewable energy generation

Wuyong Qian et al.

Summary: The proposed structural adaptive discrete grey prediction model introduces nonlinear and periodic terms to capture nonlinear and linear trends in time series, improving adaptability. The model's coefficients are determined using particle swarm optimization and hold-out cross-validation, enabling adaptive selection of the model structure. Consideration of consistency, unbiasedness, and compatibility with other grey models further validates the feasibility and practicability of the model.

EXPERT SYSTEMS WITH APPLICATIONS (2021)

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Article Construction & Building Technology

Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting

Eric Ofori-Ntow Jnr et al.

Summary: This study proposes a three-level hybrid ensemble short-term load forecasting method using DWT, PSO, and RBFNN, which was evaluated on daily average demand data from the Ghana Grid Company. The statistical analysis shows that the proposed method outperformed other methods based on MAPE, MAD, and RMSE, indicating its significant potential.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Mathematics, Interdisciplinary Applications

Research on the Capability Maturity Evaluation of Intelligent Manufacturing Based on Firefly Algorithm, Sparrow Search Algorithm, and BP Neural Network

Li Shi et al.

Summary: This paper focuses on intelligent manufacturing capability maturity evaluation based on maturity theory, utilizing the BP neural network to solve complex mapping problems. By incorporating the sparrow search algorithm and firefly disturbance strategy, the FASSA-BP algorithm is proposed to construct an intelligent manufacturing capability maturity evaluation model.

COMPLEXITY (2021)

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Article Thermodynamics

A multivariate grey prediction model based on energy logistic equation and its application in energy prediction in China

Huiming Duan et al.

Summary: A novel multivariable grey prediction model of energy consumption is proposed in this paper, which calculates the correlation between energy consumption using grey correlation analysis. The model is validated using data from three provinces in China, showing superior performance compared to other models according to five test indexes.

ENERGY (2021)

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Article Construction & Building Technology

Hierarchical parameter optimization based support vector regression for power load forecasting

Zeyu Wang et al.

Summary: This paper presents a hybrid support vector regression model for medium and long term power load forecasting, and proposes a hierarchical optimization method based on nested strategy and state transition algorithm to enhance prediction accuracy.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Construction & Building Technology

BP Neural Network Improved by Sparrow Search Algorithm in Predicting Debonding Strain of FRP-Strengthened RC Beams

Guibing Li et al.

Summary: A BP neural network model based on the sparrow search algorithm was developed to improve the accuracy of predicting debonding strain of FRP-strengthened RC beams. The model considers factors such as longitudinal reinforcement ratio, stirrup reinforcement ratio, and concrete strength, which are not included in traditional code models. The present model demonstrates better prediction accuracy and robustness compared to traditional BP neural networks and code models.

ADVANCES IN CIVIL ENGINEERING (2021)

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Article Economics