Trust and security of electric vehicle-to-grid systems and hardware supply chains

N Moghadasi, ZA Collier, A Koch, DL Slutzky… - Reliability Engineering & …, 2022 - Elsevier
Future electric vehicles and associated vehicle-to-grid (V2G) infrastructure, including vehicle
charging stations and network communications, face a variety of cybersecurity threats. The …

Addressing energy challenges in Iraq: Forecasting power supply and demand using artificial intelligence models

M Aldarraji, B Vega-Márquez, B Pontes, B Mahmood… - Heliyon, 2024 - cell.com
The global surge in energy demand, driven by technological advances and population
growth, underscores the critical need for effective management of electricity supply and …

Short Term Load Forecasting Using Machine Learning Algorithms: A Case Study in Turkey

M Purlu, C Andic, BE Turkay… - 2022 Global Energy …, 2022 - ieeexplore.ieee.org
In this study, short-term load forecasting of the Gebze region in Turkey was carried out using
Machine Learning-based prediction algorithms such as Artificial Neural Networks, Decision …

Electricity Demand Forecasting Using ML

JJD Raj, M Jayanthi - 2023 3rd International Conference on …, 2023 - ieeexplore.ieee.org
There is lot of uncertainties on demand of electricity in the global market. Building a model to
predict the future electricity demand would be very useful. There are various factors which …

Time Series Analysis of Iraq's Energy Sector: Production, Consumption, and Trends

J Delgado, M Aldarraji, B Vega-Márquez… - … Conference on Soft …, 2024 - Springer
This study is motivated by Iraq's dependence on external energy sources despite having
diverse energy options. The main aim is to predict energy demand based on past data, also …

PM-GATI SHAKTI: ADVANCING INDIA'S ENERGY FUTURE THROUGH DEMAND FORECASTING-ACASE STUDY

G Gopakumar - arxiv preprint arxiv:2308.07320, 2023 - arxiv.org
PM-Gati-Shakti Initiative, integration of ministries, including railways, ports, waterways,
logistic infrastructure, mass transport, airports, and roads. Aimed at enhancing connectivity …

Advancing Building Energy Efficiency with Physics-Informed Neural Networks for Time Series Forecasting

S Mohimanianpour - 2024 - ntnuopen.ntnu.no
The rapid urbanization and population growth have driven buildings to consume a
significant portion of the world's energy, with expectations of further increases in the future …

Time Series Analysis of Iraq's Energy Sector: Production, Consumption

J Delgado, M Aldarraji, B Vega-Márquez… - The 19th International …, 2024 - books.google.com
This study is motivated by Iraq's dependence on external energy sources despite having
diverse energy options. The main aim is to predict energy demand based on past data, also …

Maximum Demand Forecasting in the Delhi Region using Machine Learning

MSK Reddy, G Gopakumar - 2023 International Conference on …, 2023 - ieeexplore.ieee.org
The National Capital Territory (NCT) of India, Delhi, is home to New Delhi, the country's
capital. Being a significant political and economic hub, Delhi experiences unique …

Energy Consumption Forecasting using Transformers

MB Lerstein - 2024 - ntnuopen.ntnu.no
Denne avhandlingen undersøker den ytelsen til Transformer-modeller for
energiforbruksprognoser. Denne studien sammenligner Transformer-modellen med …