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Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast
| Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast |
| Autore | Gómez Vela Francisco A |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (100 p.) |
| Soggetto topico |
Research & information: general
Technology: general issues |
| Soggetto non controllato |
autoregression
clustering data filtration data processing decision tree deep learning electricity demand energy demand energy efficiency evolutionary computation exponential smoothing forecasting k-nearest neighbors n/a neuroevolution photovoltaic power plant regression residential building short-term forecasting temporal convolutional network time series time series forecasting time-series forecasting |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557776003321 |
Gómez Vela Francisco A
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Forecasting fundamentals / / Nada R. Sanders
| Forecasting fundamentals / / Nada R. Sanders |
| Autore | Sanders Nada R. |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2017 |
| Descrizione fisica | 1 online resource (126 pages) |
| Disciplina | 658.40355 |
| Collana | Supply and operations management collection |
| Soggetto topico | Business forecasting |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato |
causal methods
collaborative forecasting forecasting forecast accuracy measures forecasting analysis forecasting in business forecasting methods forecasting process forecasting technology judgmental forecasting time-series forecasting |
| ISBN | 1-60649-871-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section I. Forecasting basics -- 1. Forecasting in business -- 2. The forecasting process -- Section II. Measuring forecast accuracy -- 3. Forecast accuracy measures -- Section III. Basics of forecasting methods -- 4. Categories of forecasting methods -- 5. Judgmental forecasting models -- 6. Statistical forecasting models -- Section IV. Forecasting in the business environment -- 7. Technology in forecasting -- 8. Managing the forecasting process -- Notes -- References -- Index. |
| Record Nr. | UNINA-9910151749203321 |
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Sanders Nada R.
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||
| New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Forecasting fundamentals / / Nada R. Sanders
| Forecasting fundamentals / / Nada R. Sanders |
| Autore | Sanders Nada R. |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2017 |
| Descrizione fisica | 1 online resource (126 pages) |
| Disciplina | 658.40355 |
| Collana | Supply and operations management collection |
| Soggetto topico | Business forecasting |
| Soggetto non controllato |
causal methods
collaborative forecasting forecasting forecast accuracy measures forecasting analysis forecasting in business forecasting methods forecasting process forecasting technology judgmental forecasting time-series forecasting |
| ISBN | 1-60649-871-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section I. Forecasting basics -- 1. Forecasting in business -- 2. The forecasting process -- Section II. Measuring forecast accuracy -- 3. Forecast accuracy measures -- Section III. Basics of forecasting methods -- 4. Categories of forecasting methods -- 5. Judgmental forecasting models -- 6. Statistical forecasting models -- Section IV. Forecasting in the business environment -- 7. Technology in forecasting -- 8. Managing the forecasting process -- Notes -- References -- Index. |
| Record Nr. | UNINA-9910798933503321 |
|
Sanders Nada R.
|
||
| New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Forecasting fundamentals / / Nada R. Sanders
| Forecasting fundamentals / / Nada R. Sanders |
| Autore | Sanders Nada R. |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2017 |
| Descrizione fisica | 1 online resource (126 pages) |
| Disciplina | 658.40355 |
| Collana | Supply and operations management collection |
| Soggetto topico | Business forecasting |
| Soggetto non controllato |
causal methods
collaborative forecasting forecasting forecast accuracy measures forecasting analysis forecasting in business forecasting methods forecasting process forecasting technology judgmental forecasting time-series forecasting |
| ISBN | 1-60649-871-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Section I. Forecasting basics -- 1. Forecasting in business -- 2. The forecasting process -- Section II. Measuring forecast accuracy -- 3. Forecast accuracy measures -- Section III. Basics of forecasting methods -- 4. Categories of forecasting methods -- 5. Judgmental forecasting models -- 6. Statistical forecasting models -- Section IV. Forecasting in the business environment -- 7. Technology in forecasting -- 8. Managing the forecasting process -- Notes -- References -- Index. |
| Record Nr. | UNINA-9910809870603321 |
|
Sanders Nada R.
|
||
| New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Health and Public Health Applications for Decision Support Using Machine Learning
| Health and Public Health Applications for Decision Support Using Machine Learning |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2023 |
| Descrizione fisica | 1 online resource (214 p.) |
| Soggetto non controllato |
action units
adult-onset dementia Alzheimer's disease artificial intelligence artificial neural network atherosclerosis audio visual blood glucose Cardiac health ChemProt colonies comparison between manual and automated image segmentation computerized diagnostic systems convolutional neural network COVID-19 COVID-19 detection COVID-19 severity assessment CPR (chemical-protein relation) CVD classification data selection DDI (drug-drug interaction) deep learning deep neural network diabetes discrimination Doppler ultrasound ECG emotion ensemble learning gait GAT (graph-attention network) group-based trajectory modeling hemodynamic modeling image processing infected lung segmentation internal carotid artery largest Lyapunov exponent (LyE) machine learning machine-learning models magnetic resonance imaging Measurement uncertainty Monte Carlo method movement synergy n/a neural networks neuromuscular control overground walking petri-plates pretrained model principal component analysis (PCA) quantification of lung disease severity relation extraction risk assessment tool RNN-LSTM screening strategy self-attention signal processing speech stress stroke subclinical renal damage T5 (text-to-text transfer transformer) time-series forecasting transfer learning transformer |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910743269303321 |
| MDPI - Multidisciplinary Digital Publishing Institute, 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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