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Trust and security of electric vehicle-to-grid systems and hardware supply chains
Future electric vehicles and associated vehicle-to-grid (V2G) infrastructure, including vehicle
charging stations and network communications, face a variety of cybersecurity threats. The …
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
The global surge in energy demand, driven by technological advances and population
growth, underscores the critical need for effective management of electricity supply and …
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
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 …
Machine Learning-based prediction algorithms such as Artificial Neural Networks, Decision …
Electricity Demand Forecasting Using ML
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 …
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 …
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 …
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 …
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 …
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
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 …
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 …
energiforbruksprognoser. Denne studien sammenligner Transformer-modellen med …