Machine Learning Approaches to Electricity Consumption Forecasting in Automated Metering Infrastructure (AMI) Systems: An Empirical Study

Author:

Jayanth Balaji A.,Harish Ram D. S.,Nair Binoy B.

Publisher

Springer International Publishing

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Residential Load Forecasting based on Deep Neural Network;2023 4th International Conference on Innovative Trends in Information Technology (ICITIIT);2023-02-11

2. Lane Detection for Intelligent Vehicle System Using Image Processing Techniques;Transactions on Computer Systems and Networks;2021

3. Forecasting Electricity Consumption Using Weather Data in an Edge-Fog-Cloud Data Analytics Architecture;Advances on P2P, Parallel, Grid, Cloud and Internet Computing;2020-10-09

4. A deep learning approach to electric energy consumption modeling;Journal of Intelligent & Fuzzy Systems;2019-05-14

5. An Improved Driver Assistance System for Detection of Lane Departure Under Urban and Highway Driving Conditions;Communications in Computer and Information Science;2019

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