Cargando…

Energy Consumption Forecasting Using Semantic-Based Genetic Programming with Local Search Optimizer

Energy consumption forecasting (ECF) is an important policy issue in today's economies. An accurate ECF has great benefits for electric utilities and both negative and positive errors lead to increased operating costs. The paper proposes a semantic based genetic programming framework to address...

Descripción completa

Detalles Bibliográficos
Autores principales:	Castelli, Mauro, Trujillo, Leonardo, Vanneschi, Leonardo
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi Publishing Corporation 2015
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4464001/ https://www.ncbi.nlm.nih.gov/pubmed/26106410 http://dx.doi.org/10.1155/2015/971908

Ejemplares similares

Controlling Individuals Growth in Semantic Genetic Programming through Elitist Replacement
por: Castelli, Mauro, et al.
Publicado: (2016)

Object detection for automatic cancer cell counting in zebrafish xenografts
por: Albuquerque, Carina, et al.
Publicado: (2021)

Forecasting Energy Consumption in the EU Residential Sector
por: Bianco, Vincenzo, et al.
Publicado: (2020)

Using artificial intelligence to overcome over-indebtedness and fight poverty
por: Boto Ferreira, Mário, et al.
Publicado: (2021)

A comparison of machine learning techniques for survival prediction in breast cancer
por: Vanneschi, Leonardo, et al.
Publicado: (2011)

An MPA-based optimized grey Bernoulli model for China’s petroleum consumption forecasting
por: Wu, Wen-Ze, et al.
Publicado: (2022)

Forecasting Electricity Consumption in Residential Buildings for Home Energy Management Systems
por: Bot, Karol, et al.
Publicado: (2020)

Incorporating causality in energy consumption forecasting using deep neural networks
por: Sharma, Kshitij, et al.
Publicado: (2022)

Semantic Search in Psychosis: Modeling Local Exploitation and Global Exploration
por: Lundin, Nancy B, et al.
Publicado: (2020)

Forecasting of Daily Outpatient Visits Based on Genetic Programming
por: Liu, Xiaobing, et al.
Publicado: (2022)

Forecasting with foregrounds: searching for optimal spectral distortion mission configurations
por: Abitbol, Max
Publicado: (2018)

Forecasting oil consumption with attention-based IndRNN optimized by adaptive differential evolution
por: Wu, Binrong, et al.
Publicado: (2022)

A Comparative Study of Automated Deep Learning Segmentation Models for Prostate MRI
por: Rodrigues, Nuno M., et al.
Publicado: (2023)

Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble
por: de Mattos Neto, Paulo S. G., et al.
Publicado: (2021)

Semantic search on text and knowledge bases
por: Bast, Hannah, et al.
Publicado: (2016)

Automatic detection of semantic primitives using optimization based on genetic algorithm
por: Kostiuk, Yevhen, et al.
Publicado: (2023)

Crowdsourcing-Based Indoor Semantic Map Construction and Localization Using Graph Optimization
por: Li, Chao, et al.
Publicado: (2022)

A new multivariate grey prediction model for forecasting China’s regional energy consumption
por: Wu, Geng, et al.
Publicado: (2022)

Forecasting of energy consumption by G20 countries using an adjacent accumulation grey model
por: Raheem, Ijlal, et al.
Publicado: (2022)

Forecasting consumer confidence through semantic network analysis of online news
por: Fronzetti Colladon, Andrea, et al.
Publicado: (2023)

Forecasting Optimal Solar Energy Supply in Jiangsu Province (China): A Systematic Approach Using Hybrid of Weather and Energy Forecast Models
por: Zhao, Xiuli, et al.
Publicado: (2014)

Semantic search for novel information
por: FÃ¤rber, M
Publicado: (2017)

Energy consumption and cooperation for optimal sensing
por: Ngampruetikorn, Vudtiwat, et al.
Publicado: (2020)

Energy Contour Forecasting Optimization with Smart Metering in Distribution Power Networks
por: Dumitru, Cristian-Dragoș, et al.
Publicado: (2023)

Programming the semantic web
por: Segaran, Toby, et al.
Publicado: (2009)

Semantic Web Programming
por: Hebeler, John, et al.
Publicado: (2009)

Transformers for Energy Forecast
por: Oliveira, Hugo S., et al.
Publicado: (2023)

Forecasting petroleum products consumption in Cameroon's household sector using a sequential GMC(1,n) model optimized by genetic algorithms
por: Sapnken, Flavian Emmanuel, et al.
Publicado: (2022)

Short-term renewable energy consumption and generation forecasting: A case study of Western Australia
por: Abu-Salih, Bilal, et al.
Publicado: (2022)

Non-literal language and semantic dementia
por: Hur, Mariana Ribeiro, et al.
Publicado: (2013)

Local search in combinatorial optimization
por: Aarts, Emile, et al.
Publicado: (2018)

Semantic Academic Profiler (SAP): a framework for researcher assessment based on semantic topic modeling
por: Viegas, Felipe, et al.
Publicado: (2022)

Multiple Electric Energy Consumption Forecasting Using a Cluster-Based Strategy for Transfer Learning in Smart Building
por: Le, Tuong, et al.
Publicado: (2020)

Assessment and Forecast of Domestic Tourism Consumption in Russia
por: Leonidova, E. G., et al.
Publicado: (2023)

Probabilistic Load Forecasting Optimization for Building Energy Models via Day Characterization
por: Lucas Segarra, Eva, et al.
Publicado: (2021)

Semantic Clustering of Search Engine Results
por: Soliman, Sara Saad, et al.
Publicado: (2015)

PepeSearch: Semantic Data for the Masses
por: Vega-Gorgojo, Guillermo, et al.
Publicado: (2016)

Semantics of programming languages : structures and techniques
por: Gunter, Carl A.
Publicado: (1992)

Resource Scheduling and Energy Consumption Optimization Based on Lyapunov Optimization in Fog Computing
por: Huang, Chenbin, et al.
Publicado: (2022)

A hybrid forecasting model using LSTM and Prophet for energy consumption with decomposition of time series data
por: Arslan, Serdar
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_a4b9rtin91q8o2k6shkl1r9qbf