[HTML][HTML] Machine learning models for solar power generation forecasting in microgrid application implications for smart cities

P Suanpang, P Jamjuntr - Sustainability, 2024 - mdpi.com
In the context of escalating concerns about environmental sustainability in smart cities, solar
power and other renewable energy sources have emerged as pivotal players in the global …

Application of Methods Based on Artificial Intelligence and Optimisation in Power Engineering—Introduction to the Special Issue

P Pijarski, A Belowski - Energies, 2024 - mdpi.com
The challenges currently faced by network operators are difficult and complex. Presently,
various types of energy sources with random generation, energy storage units operating in …

[HTML][HTML] Enhancing wind power forecasting accuracy with hybrid deep learning and teaching-learning-based optimization

MH Sulaiman, Z Mustaffa - Cleaner Energy Systems, 2024 - Elsevier
Forecasting wind power generation is crucial for ensuring grid security and the
competitiveness of the power market. This paper presents an innovative approach that …

Capacity configuration optimization for green hydrogen generation driven by solar-wind hybrid power based on comprehensive performance criteria

W Su, W Zheng, Q Li, Z Yu, Y Han, Z Bai - Frontiers in Energy …, 2023 - frontiersin.org
Green hydrogen generation driven by solar-wind hybrid power is a key strategy for obtaining
the low-carbon energy, while by considering the fluctuation natures of solar-wind energy …

Prediction of gross calorific value from coal analysis using decision tree-based bagging and boosting techniques

TA Munshi, LN Jahan, MF Howladar, M Hashan - Heliyon, 2024 - cell.com
The calorific value of any fuel is one of the crucial parameters to grade fuel's burning
capability. The bomb calorimeter has historically been used to calculate coal's gross calorific …

Sustainable decision-making approach for operational excellence considering emerging technologies and energy sources: a review

V Tripathi, RM Reddy, A Bhadauria, D Bandhu… - Discover …, 2024 - Springer
The cleaner operation system is a necessity of the current industrial scenario, and it
depends on the operational performances and conditions. The recent advancement in …

Real-time pricing based on convex hull method for smart grid with multiple generating units

N Li, Y Gao - Energy, 2023 - Elsevier
With the growing demand and complex supply structure for electricity, higher requirements
are proposed for generating units to regulate the peak load, resulting in significant increases …

Machine Learning and Weather Model Combination for PV Production Forecasting

A Buonanno, G Caputo, I Balog, S Fabozzi, G Adinolfi… - Energies, 2024 - mdpi.com
Accurate predictions of photovoltaic generation are essential for effectively managing power
system resources, particularly in the face of high variability in solar radiation. This is …

InfoCAVB-MemoryFormer: Forecasting of wind and photovoltaic power through the interaction of data reconstruction and data augmentation

M Zhong, J Fan, J Luo, X Xiao, G He, R Cai - Applied Energy, 2024 - Elsevier
Rare or missing data pose significant challenges in the prediction of wind power (WP) and
photovoltaic power (PV). Many methods address the data scarcity issue solely through …

Automotive Electric Power Steering Control with Robust Observer Based Neuroadaptive Type-2 Radial Basis Function Methodology

A Amirkhani, M Shirzadeh… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In this article, a simplified type-2 (ST2) radial basis function (RBF) based neuroadaptive
technique for controlling an automotive electric power steering (AEPS) system is designed …