An Evaluation of Sustainable Power System Resilience in the Face of Severe Weather Conditions and Climate Changes: A Comprehensive Review of Current …

SR Kasimalla, K Park, A Zaboli, Y Hong, SL Choi… - Sustainability, 2024 - mdpi.com
Natural disasters pose significant threats to power distribution systems, intensified by the
increasing impacts of climate changes. Resilience-enhancement strategies are crucial in …

A Comprehensive Review of Behind-the-Meter Distributed Energy Resources Load Forecasting: Models, Challenges, and Emerging Technologies

A Zaboli, SR Kasimalla, K Park, Y Hong, J Hong - Energies, 2024 - mdpi.com
Behind the meter (BTM) distributed energy resources (DERs), such as photovoltaic (PV)
systems, battery energy storage systems (BESSs), and electric vehicle (EV) charging …

Short-term load forecasting based on CEEMDAN and dendritic deep learning

K Song, Y Yu, T Zhang, X Li, Z Lei, H He… - Knowledge-Based …, 2024 - Elsevier
Short-term load forecasting (STLF) plays a key role in improving the operational efficiency of
real-time electricity markets by reducing load uncertainty, optimising the allocation of …

[PDF][PDF] Forecasting EV Charging Demand: A Graph Convolutional Neural Network-Based Approach

SR Fahim, R Atat, C Kececi, A Takiddin… - 2024 4th International …, 2024 - researchgate.net
Electric vehicles (EVs) are expected to revolutionize the global transportation sector by
promoting sustainability and eco-friendliness. The continuous proliferation of EVs requires …

A Grid Planning and Optimization Tool for Substation Overload Reduction

A Zaboli, K Park, J Hong, W Su - Microgrid, 2024 - taylorfrancis.com
This chapter explores the feasibility and cost-benefit analysis of large-scale integrated
photovoltaic-battery energy storage system (PV-BESS) installations or upgrading/building a …

Short-Term Load Forecasting Based on TVF-EMD and CNN-GRU Optimized By DBO

L Xu, L Zhou - 2024 9th Asia Conference on Power and …, 2024 - ieeexplore.ieee.org
The economic and stable functioning of power systems is reliant upon precise load
forecasting in the short-term. A novel short-term electricity load forecasting model, TVFEMD …

Integrating Cloud Services for Comprehensive Cloud Prediction via NWP, LSTM, and K-Means

A Nekkanti, DN Kambhampati, A Pathan… - International Journal of …, 2024 - ijisae.org
Cloud forecasting, often termed as cloud capacity prediction or cloud resource projection,
involves the anticipation and estimation of forthcoming requirements and usage patterns for …

Advancing Electrical Infrastructure: Smart Energy Systems for Future Power Networks

E Katya, N Jain - Acta Energetica, 2024 - actaenergetica.org
Smart energy systems are replacing the old electrical grid, which was made to send power
from fixed sources to homes and businesses. These changes are caused by the need for …

Electric vehicle charging load forecasting method based on adaptive artificial fish swarm algorithm optimized Long short-term memory network

J Liao, Y Liu, J Xia, S Gao, G Hua - 2023 IEEE 7th Information …, 2023 - ieeexplore.ieee.org
Electric vehicle (EV) charging load forecasting plays a crucial role in optimizing the
utilization of energy resources and infrastructure planning. In this paper, we propose a novel …

15 A Grid Planning and

A Zaboli, K Park, J Hong, W Su - Microgrid: Design, Optimization …, 2024 - books.google.com
Recently, as energy issues have been emphasized and the problem of climate change has
arisen, many countries have implemented policies such as making renewable energy …