Please use this identifier to cite or link to this item:
http://localhost/handle/Hannan/1313
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bianchi, Filippo Maria ; | en_US |
| dc.contributor.author | Maiorino, Enrico ; | en_US |
| dc.contributor.author | Kampffmeyer, Michael C ; | en_US |
| dc.contributor.author | Rizzi, Antonello ; | en_US |
| dc.contributor.author | Jenssen, Robert ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:27:30Z | - |
| dc.date.available | 2020-05-17T08:27:30Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319703381 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 3319703382 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 9783319703374 ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1313 | - |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | Available to OhioLINK libraries ; | en_US |
| dc.description | Ohio Library and Information Network ; | en_US |
| dc.description | Print version: ; Bianchi, Filippo Maria ; Recurrent Neural Networks for Short-Term Load Forecasting : An Overview and Comparative Analysis ; Cham : Springer International Publishing,c2017 ; 9783319703374 ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.statementofresponsibility | Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen | en_US |
| dc.description.tableofcontents | ""Preface""; ""Contents""; ""Acronyms""; ""1 Introduction""; ""References""; ""2 Properties and Training in Recurrent Neural Networks""; ""2.1 Backpropagation Through Time""; ""2.2 Gradient Descent and Loss Function""; ""2.3 Parameters Update Strategies""; ""2.4 Vanishing and Exploding Gradient""; ""References""; ""3 Recurrent Neural Network Architectures""; ""3.1 Elman Recurrent Neural Network""; ""3.2 Long Short-Term Memory""; ""3.3 Gated Recurrent Unit""; ""References""; ""4 Other Recurrent Neural Networks Models""; ""4.1 NARX Network""; ""4.2 Echo State Network""; ""References"" ; | en_US |
| dc.description.tableofcontents | ""5 Synthetic Time Series""""References""; ""6 Real-World Load Time Series""; ""6.1 Orange Dataset -- Telephonic Activity Load""; ""6.2 ACEA Dataset -- Electricity Load""; ""6.3 GEFCom2012 Dataset -- Electricity Load""; ""References""; ""7 Experiments""; ""7.1 Experimental Settings""; ""7.1.1 ERNN, LSTM, and GRU""; ""7.1.2 NARX""; ""7.1.3 ESN""; ""7.2 Results on Synthetic Dataset""; ""7.3 Results on Real-World Dataset""; ""7.3.1 Results on Orange Dataset""; ""7.3.2 Results on ACEA Dataset""; ""7.3.3 Results on GEFCom Dataset""; ""References""; ""8 Conclusions"" ; | en_US |
| dc.format.extent | 1 online resource (74 p.) ; | en_US |
| dc.publisher | Springer, | en_US |
| dc.relation.ispartofseries | SpringerBriefs in Computer Science ; | en_US |
| dc.relation.ispartofseries | SpringerBriefs in computer science ; | en_US |
| dc.relation.haspart | 9783319703381.pdf | en_US |
| dc.subject | Neural networks (Computer science) ; | en_US |
| dc.title | Recurrent neural networks for short-term load forecasting | en_US |
| dc.title.alternative | an overview and comparative analysis / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| dc.classification.lc | QA76.87 ; | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319703381.pdf | 2.9 MB | Adobe PDF |  Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bianchi, Filippo Maria ; | en_US |
| dc.contributor.author | Maiorino, Enrico ; | en_US |
| dc.contributor.author | Kampffmeyer, Michael C ; | en_US |
| dc.contributor.author | Rizzi, Antonello ; | en_US |
| dc.contributor.author | Jenssen, Robert ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:27:30Z | - |
| dc.date.available | 2020-05-17T08:27:30Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319703381 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 3319703382 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 9783319703374 ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1313 | - |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | Available to OhioLINK libraries ; | en_US |
| dc.description | Ohio Library and Information Network ; | en_US |
| dc.description | Print version: ; Bianchi, Filippo Maria ; Recurrent Neural Networks for Short-Term Load Forecasting : An Overview and Comparative Analysis ; Cham : Springer International Publishing,c2017 ; 9783319703374 ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.statementofresponsibility | Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen | en_US |
| dc.description.tableofcontents | ""Preface""; ""Contents""; ""Acronyms""; ""1 Introduction""; ""References""; ""2 Properties and Training in Recurrent Neural Networks""; ""2.1 Backpropagation Through Time""; ""2.2 Gradient Descent and Loss Function""; ""2.3 Parameters Update Strategies""; ""2.4 Vanishing and Exploding Gradient""; ""References""; ""3 Recurrent Neural Network Architectures""; ""3.1 Elman Recurrent Neural Network""; ""3.2 Long Short-Term Memory""; ""3.3 Gated Recurrent Unit""; ""References""; ""4 Other Recurrent Neural Networks Models""; ""4.1 NARX Network""; ""4.2 Echo State Network""; ""References"" ; | en_US |
| dc.description.tableofcontents | ""5 Synthetic Time Series""""References""; ""6 Real-World Load Time Series""; ""6.1 Orange Dataset -- Telephonic Activity Load""; ""6.2 ACEA Dataset -- Electricity Load""; ""6.3 GEFCom2012 Dataset -- Electricity Load""; ""References""; ""7 Experiments""; ""7.1 Experimental Settings""; ""7.1.1 ERNN, LSTM, and GRU""; ""7.1.2 NARX""; ""7.1.3 ESN""; ""7.2 Results on Synthetic Dataset""; ""7.3 Results on Real-World Dataset""; ""7.3.1 Results on Orange Dataset""; ""7.3.2 Results on ACEA Dataset""; ""7.3.3 Results on GEFCom Dataset""; ""References""; ""8 Conclusions"" ; | en_US |
| dc.format.extent | 1 online resource (74 p.) ; | en_US |
| dc.publisher | Springer, | en_US |
| dc.relation.ispartofseries | SpringerBriefs in Computer Science ; | en_US |
| dc.relation.ispartofseries | SpringerBriefs in computer science ; | en_US |
| dc.relation.haspart | 9783319703381.pdf | en_US |
| dc.subject | Neural networks (Computer science) ; | en_US |
| dc.title | Recurrent neural networks for short-term load forecasting | en_US |
| dc.title.alternative | an overview and comparative analysis / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| dc.classification.lc | QA76.87 ; | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319703381.pdf | 2.9 MB | Adobe PDF | Preview File |
Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bianchi, Filippo Maria ; | en_US |
| dc.contributor.author | Maiorino, Enrico ; | en_US |
| dc.contributor.author | Kampffmeyer, Michael C ; | en_US |
| dc.contributor.author | Rizzi, Antonello ; | en_US |
| dc.contributor.author | Jenssen, Robert ; | en_US |
| dc.date.accessioned | 2013 | en_US |
| dc.date.accessioned | 2020-05-17T08:27:30Z | - |
| dc.date.available | 2020-05-17T08:27:30Z | - |
| dc.date.issued | 2017 | en_US |
| dc.identifier.isbn | 9783319703381 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 3319703382 ; (electronic bk.) ; | en_US |
| dc.identifier.isbn | 9783319703374 ; | en_US |
| dc.identifier.uri | http://localhost/handle/Hannan/1313 | - |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description | Available to OhioLINK libraries ; | en_US |
| dc.description | Ohio Library and Information Network ; | en_US |
| dc.description | Print version: ; Bianchi, Filippo Maria ; Recurrent Neural Networks for Short-Term Load Forecasting : An Overview and Comparative Analysis ; Cham : Springer International Publishing,c2017 ; 9783319703374 ; | en_US |
| dc.description | en_US | |
| dc.description | en_US | |
| dc.description.statementofresponsibility | Filippo Maria Bianchi, Enrico Maiorino, Michael C. Kampffmeyer, Antonello Rizzi, Robert Jenssen | en_US |
| dc.description.tableofcontents | ""Preface""; ""Contents""; ""Acronyms""; ""1 Introduction""; ""References""; ""2 Properties and Training in Recurrent Neural Networks""; ""2.1 Backpropagation Through Time""; ""2.2 Gradient Descent and Loss Function""; ""2.3 Parameters Update Strategies""; ""2.4 Vanishing and Exploding Gradient""; ""References""; ""3 Recurrent Neural Network Architectures""; ""3.1 Elman Recurrent Neural Network""; ""3.2 Long Short-Term Memory""; ""3.3 Gated Recurrent Unit""; ""References""; ""4 Other Recurrent Neural Networks Models""; ""4.1 NARX Network""; ""4.2 Echo State Network""; ""References"" ; | en_US |
| dc.description.tableofcontents | ""5 Synthetic Time Series""""References""; ""6 Real-World Load Time Series""; ""6.1 Orange Dataset -- Telephonic Activity Load""; ""6.2 ACEA Dataset -- Electricity Load""; ""6.3 GEFCom2012 Dataset -- Electricity Load""; ""References""; ""7 Experiments""; ""7.1 Experimental Settings""; ""7.1.1 ERNN, LSTM, and GRU""; ""7.1.2 NARX""; ""7.1.3 ESN""; ""7.2 Results on Synthetic Dataset""; ""7.3 Results on Real-World Dataset""; ""7.3.1 Results on Orange Dataset""; ""7.3.2 Results on ACEA Dataset""; ""7.3.3 Results on GEFCom Dataset""; ""References""; ""8 Conclusions"" ; | en_US |
| dc.format.extent | 1 online resource (74 p.) ; | en_US |
| dc.publisher | Springer, | en_US |
| dc.relation.ispartofseries | SpringerBriefs in Computer Science ; | en_US |
| dc.relation.ispartofseries | SpringerBriefs in computer science ; | en_US |
| dc.relation.haspart | 9783319703381.pdf | en_US |
| dc.subject | Neural networks (Computer science) ; | en_US |
| dc.title | Recurrent neural networks for short-term load forecasting | en_US |
| dc.title.alternative | an overview and comparative analysis / | en_US |
| dc.type | Book | en_US |
| dc.publisher.place | Cham : | en_US |
| dc.classification.lc | QA76.87 ; | en_US |
| Appears in Collections: | مهندسی فناوری اطلاعات | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 9783319703381.pdf | 2.9 MB | Adobe PDF | Preview File |