A Data Driven Approach for Day Ahead Short Term Load Forecasting
Author:
Affiliation:
1. Department of Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh
2. Bangladesh Energy and Power Research Council, Dhaka, Bangladesh
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/9668973/09852454.pdf?arnumber=9852454
Reference32 articles.
1. A Short-Term Load Forecasting Method Based on GRU-CNN Hybrid Neural Network Model
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3. Using deep learning and evolutionary algorithms for time series forecasting;gonzalez;Proc ESANN,2019
4. A Deep Learning Method for Short-Term Residential Load Forecasting in Smart Grid
5. Evolutionary Deep Learning-Based Energy Consumption Prediction for Buildings
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