Smart grid: a survey of architectural elements, machine learning and deep learning applications and future directions

NN Thilakarathne, R Samarasinghe… - Journal of Intelligent …, 2021 - americaspg.com
In the 21 st century, the Smart Grid (SG), also known as the next-generation power grid,
arose as a substitute for inefficient power systems, ensuring a reliable and efficient power …

[HTML][HTML] Optimizing the resource usage of actor-based systems

HT Nguyen, TV Do, C Rotter - Journal of Network and Computer …, 2021 - Elsevier
Runtime environments for IoT data processing systems based on the actor model often
apply a thread pool to serve data streams. In this paper, we propose an approach based on …

A Latent Factor-Based Bayesian Neural Networks Model in Cloud Platform for Used Car Price Prediction

J Huang, SN Saw, W Feng, Y Jiang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
The selling price of a used car can be predicted based on its historical information. Accurate
and reasonable used car price evaluation will be able to promote the healthy progress of the …

[HTML][HTML] Diminution of smart grid with renewable sources using support vector machines for identification of regression losses in large-scale systems

Y Teekaraman, I Kirpichnikova, H Manoharan… - … and Mobile Computing, 2022 - hindawi.com
This article examines the effect of smart grid systems by implementing artificial intelligence
(AI) technique with application of renewable energy sources (RES). The current state …

Explainable AI for 6G Use Cases: Technical Aspects and Research Challenges

S Wang, MA Qureshi… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
Around 2020, 5G began its commercialization journey, and discussions about the next-
generation networks (such as 6G) emerged. Researchers predict that 6G networks will have …

Forecasting renewable energy for environmental resilience through computational intelligence

M Khan, EA Al-Ammar, MR Naeem, W Ko, HJ Choi… - Plos one, 2021 - journals.plos.org
Wind power forecasting plays a key role in the design and maintenance of wind power
generation which can directly help to enhance environment resilience. Offshore wind power …

A modified Takagi-Sugeno-Kang neuro-fuzzy network in estimation of shortage faults location and resistance on transmission lines

LH Tran - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Power transmission lines play very important roles in power systems. When a fault occurs, a
fast process of identification, localization and isolation of the fault is required. To one of the …

[PDF][PDF] Addressing Economic Dispatch Problem with Multiple Fuels Using Oscillatory Particle Swarm Optimization.

J Paramguru, SK Barik, AK Barisal… - … , Materials & Continua, 2021 - researchgate.net
Economic dispatch has a significant effect on optimal economical operation in the power
systems in industrial revolution 4.0 in terms of considerable savings in revenue. Various non …

Electricity consumption forecast of clusters of buildings based on recurrent neural networks

P Golovinski, D Vasenin, N Savvin… - … on Control Systems …, 2022 - ieeexplore.ieee.org
During the last decade, the relevance of improving the energy efficiency and thus reduce the
energy consumption of buildings has gained momentum for many reasons. In addition to …

The Analysis of Integration of Ideological and Political Education and Mental Health Education for College Students

C Pan, JL Yeh - Eurasian Journal of Educational Research, 2023 - ejer.com.tr
Objective: After a period of theoretical investigation and practical implementation in the
realm of political and ideological education, an optimal educational system has been …