Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

Advanced Optimization Methods and Big Data Applications in Energy Demand Forecast

The use of data collectors in energy systems is growing more and more [...]

Bibliographic Details
Main Authors:	Federico Divina, Francisco Gómez-Vela, Miguel García-Torres
Format:	Article
Language:	English
Published:	MDPI AG 2021-01-01
Series:	Applied Sciences
Subjects:	n/a
Online Access:	https://www.mdpi.com/2076-3417/11/3/1261

Similar Items

Biclustering of Smart Building Electric Energy Consumption Data
by: Federico Divina, et al.
Published: (2019-01-01)

Intelligent Forecasting and Optimization in Electrical Power Systems: Advances in Models and Applications
by: Grzegorz Dudek, et al.
Published: (2023-03-01)

Advances in Hydrological Forecasting
by: Minxue He, et al.
Published: (2021-07-01)

Advances in Evaporation and Evaporative Demand
by: Nikolaos Malamos, et al.
Published: (2022-05-01)

Advances in Wave Energy Conversion with Data-Driven Models
by: Daniel Clemente, et al.
Published: (2023-08-01)

A Comparative Study of Time Series Forecasting Methods for Short Term Electric Energy Consumption Prediction in Smart Buildings
by: Federico Divina, et al.
Published: (2019-05-01)

Price Forecasting in Energy Market
by: Yuriy Bilan, et al.
Published: (2022-12-01)

Cloud Computing for Big Data Analysis
by: Fabrizio Marozzo, et al.
Published: (2022-10-01)

Optimization Trends in Demand-Side Management
by: Álvaro Gutiérrez
Published: (2022-08-01)

Stacking Ensemble Learning for Short-Term Electricity Consumption Forecasting
by: Federico Divina, et al.
Published: (2018-04-01)

Correction: Alasali et al. Forecasting and Modelling the Uncertainty of Low Voltage Network Demand and the Effect of Renewable Energy Sources. <i>Energies</i> 2021, <i>14</i>, 2151
by: Feras Alasali, et al.
Published: (2022-03-01)

Time Series Forecasting for Energy Consumption
by: M. C. Pegalajar, et al.
Published: (2022-01-01)

Big Data Analysis and Visualization: Challenges and Solutions
by: Kwan-Hee Yoo, et al.
Published: (2022-08-01)

Predicting the Future-Big Data and Machine Learning
by: Fernando Sánchez Lasheras
Published: (2021-12-01)

Special Issue on Intelligent Computing for Big Data
by: Wei Wang, et al.
Published: (2022-11-01)

Medical Big Data and Artificial Intelligence for Healthcare
by: Yudong Zhang, et al.
Published: (2023-03-01)

An Overview of Big Data Analytics for Cultural Heritage
by: Manolis Wallace, et al.
Published: (2023-01-01)

Semantics in the Deep: Semantic Analytics for Big Data
by: Dimitrios Koutsomitropoulos, et al.
Published: (2019-05-01)

A stacking ensemble learning for Iberian pigs activity prediction: a time series forecasting approach
by: Federico Divina, et al.
Published: (2024-04-01)

Advancements in Hydropower Design and Operation for Present and Future Electrical Demand
by: John Cimbala, et al.
Published: (2022-03-01)

Advanced Analytics in Renewable Energy
by: Fausto Pedro García Márquez
Published: (2022-05-01)

Policies Supporting Renewable Energies Uses: The Next Big Challenge
by: Ferdinando Boero
Published: (2016-04-01)

Special Issue on Advances in Integrated Energy Systems Design, Control and Optimization
by: Amjad Anvari-Moghaddam, et al.
Published: (2017-07-01)

Special Issue on Transportation Big Data and Its Applications
by: Xiaolei Ma, et al.
Published: (2024-02-01)

Special Issue on Big Data for eHealth Applications
by: Stefano Silvestri, et al.
Published: (2022-07-01)

Applications of (Big) Data Analysis in A/E/C
by: Ming-Hung Hsu, et al.
Published: (2023-05-01)

Remote Sensing Big Data: Theory, Methods and Applications
by: Peng Liu, et al.
Published: (2018-05-01)

Working to Supply the Demand: Recent Advances in the Science of Zoo Animal Welfare
by: Katherine A. Cronin
Published: (2021-07-01)

Perspectives on Big Data, Cloud-Based Data Analysis and Machine Learning Systems
by: Fabrizio Marozzo, et al.
Published: (2023-05-01)

Advances in Leakage Control and Energy Consumption Optimization in Drinking Water Distribution Networks
by: Andrés Ortega-Ballesteros, et al.
Published: (2022-07-01)

Special Issue “Applications of Advanced Control and Optimization Paradigms in Renewable Energy Systems”
by: Tariq Kamal, et al.
Published: (2023-11-01)

Special Issue on Innovative Applications of Big Data and Cloud Computing
by: Chao-Tung Yang, et al.
Published: (2022-09-01)

Editorial for the Special Issue “Data Science and Big Data in Biology, Physical Science and Engineering”
by: Mohammed Mahmoud
Published: (2024-01-01)

Acknowledgment to Reviewers of <i>Big Data and Cognitive Computing</i> in 2020
by: Big Data and Cognitive Computing Editorial Office
Published: (2021-01-01)

Unlocking the Potential of Explainable Artificial Intelligence in Remote Sensing Big Data
by: Peng Liu, et al.
Published: (2023-11-01)

Analytical, Numerical and Big-Data-Based Methods in Deep Rock Mechanics
by: Shaofeng Wang, et al.
Published: (2022-09-01)

In Silico Drug Design and Discovery: Big Data for Small Molecule Design
by: Carmen Cerchia, et al.
Published: (2022-12-01)

Big Data and AI for Process Innovation in the Industry 4.0 Era
by: Jaehun Park, et al.
Published: (2022-06-01)

Acknowledgement to Reviewers of <em>Big Data and Cognitive Computing</em> in 2018
by: Big Data and Cognitive Computing Editorial Office
Published: (2019-01-01)

Acknowledgement to Reviewers of <em>Big Data and Cognitive Computing </em>in 2019
by: Big Data and Cognitive Computing Editorial Office
Published: (2020-02-01)