The Study of Short-Term Load Forecasting Using Deep Neural Networks
碩士 === 國立臺北科技大學 === 自動化科技研究所 === 106 === In this age of smart grids, power load predictions are incredibly important for the electric power industry. If consumers are able to accurately foresee their future power usage, or if power monitoring systems have warning mechanisms, we could potentially rai...
Main Authors: | Yu-Ching Chen, 陳昱斳 |
---|---|
Other Authors: | Wen-Hui Chen |
Format: | Others |
Language: | zh-TW |
Published: |
2018
|
Online Access: | http://ndltd.ncl.edu.tw/handle/f9r8mz |
Similar Items
-
Short term load forecasting using neural networks
by: Nigrini, L.B., et al.
Published: (2015) -
Short-Term Load Forecasting of Natural Gas with Deep Neural Network Regression †
by: Gregory D. Merkel, et al.
Published: (2018-08-01) -
Deep Neural Network Based Demand Side Short Term Load Forecasting
by: Seunghyoung Ryu, et al.
Published: (2016-12-01) -
A Deep Neural Network Model for Short-Term Load Forecast Based on Long Short-Term Memory Network and Convolutional Neural Network
by: Chujie Tian, et al.
Published: (2018-12-01) -
Short Term Taipower Load Forecasting Using Temperature Profiles and Neural Network
by: Chen,Cheng-Hung, et al.
Published: (2005)