Blockchain and AI amalgamation for energy cloud management: Challenges, solutions, and future directions
In the recent years, the Smart Grid (SG) system faces various challenges like the ever-
increasing energy demand, the enormous growth of renewable energy sources (RES) with …
increasing energy demand, the enormous growth of renewable energy sources (RES) with …
A review on intelligent energy management systems for future electric vehicle transportation
Z Teimoori, A Yassine - Sustainability, 2022 - mdpi.com
Over the last few years, Electric Vehicles (EVs) have been gaining interest as a result of their
ability to reduce vehicle emissions. Developing an intelligent system to manage EVs …
ability to reduce vehicle emissions. Developing an intelligent system to manage EVs …
Predicting residential electricity consumption patterns based on smart meter and household data: A case study from the Republic of Ireland
Z Guo, JR O'Hanley, S Gibson - Utilities Policy, 2022 - Elsevier
We use machine learning algorithms to investigate various aspects of residential electricity
consumption for households in the Republic of Ireland. Temperature, day of week, and …
consumption for households in the Republic of Ireland. Temperature, day of week, and …
Influence of geodemographic factors on electricity consumption and forecasting models
The residential sector is a major consumer of electricity, and its demand will rise by 65
percent by the end of 2050. The electricity consumption of a household is determined by …
percent by the end of 2050. The electricity consumption of a household is determined by …
[HTML][HTML] Transformations of trust in society: A systematic review of how access to big data in energy systems challenges Scandinavian culture
In the era of information technology and big data, the extraction, commodification, and
control of personal information is redefining how people relate and interact. However, the …
control of personal information is redefining how people relate and interact. However, the …
[HTML][HTML] Understanding multi-scale spatiotemporal energy consumption data: A visual analysis approach
Understanding energy consumption patterns is crucial for energy demand-side
management. Unlike traditional data mining or machine learning-based methods, this paper …
management. Unlike traditional data mining or machine learning-based methods, this paper …
A federated learning model with short sequence to point mechanism for smart home energy disaggregation
Residential households contribute significantly to the overall energy consumption in
developed countries. To reduce their energy consumption, they need solutions that help …
developed countries. To reduce their energy consumption, they need solutions that help …
An incremental clustering algorithm with pattern drift detection for IoT-enabled smart grid system
The IoT-enabled smart grid system provides smart meter data for electricity consumers to
record their energy consumption behaviors, the typical features of which can be represented …
record their energy consumption behaviors, the typical features of which can be represented …
Machine learning based short-term load forecasting for smart meter energy consumption data in london households
DA Bashawyah, SM Qaisar - 2021 IEEE 12th International …, 2021 - ieeexplore.ieee.org
The eolved deployment of smart meters has enabledan extensive authority and monitoring
on both electricity operating companies and customers. Based on smart meters, it is possible …
on both electricity operating companies and customers. Based on smart meters, it is possible …
Parametric Time-series Modelling of London Smart Meter Data for Short-term Demand Forecasting
A Mondal, S Das - 2023 IEEE 3rd International Conference on …, 2023 - ieeexplore.ieee.org
Electricity being one of the most important components behind economic growth in 21st
century, accurate electricity demand forecast became essential. Now with the deployment of …
century, accurate electricity demand forecast became essential. Now with the deployment of …