Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders
Energy consumption in buildings is increasing because of social development and
urbanization. Forecasting the energy consumption in buildings is essential for improving …
urbanization. Forecasting the energy consumption in buildings is essential for improving …
[HTML][HTML] Big Data sources and methods for social and economic analyses
D Blazquez, J Domenech - Technological Forecasting and Social Change, 2018 - Elsevier
Abstract The Data Big Bang that the development of the ICTs has raised is providing us with
a stream of fresh and digitized data related to how people, companies and other …
a stream of fresh and digitized data related to how people, companies and other …
Automated load pattern learning and anomaly detection for enhancing energy management in smart buildings
The energy management of buildings currently offers a powerful opportunity to enhance
energy efficiency and reduce the mismatch between the actual and expected energy …
energy efficiency and reduce the mismatch between the actual and expected energy …
A direct load control strategy of centralized air-conditioning systems for building fast demand response to urgent requests of smart grids
When receiving an urgent request from a smart grid, shutting down part of operating chillers
directly in the air-conditioning system in a building can achieve immediate power reduction …
directly in the air-conditioning system in a building can achieve immediate power reduction …
Big energy data management for smart grids—Issues, challenges and recent developments
Urban areas suffer from tremendous pressure to cope with increasing population in a city. A
smart city is a technological solution that integrates engineering and information systems to …
smart city is a technological solution that integrates engineering and information systems to …
Analysis of the effects of dioctyl terephthalate obtained from polyethylene terephthalate wastes on concrete mortar: A response surface methodology based desirability …
One of the most effective methods to dispose the waste polyethylene terephthalate is to
obtain the dioctyl terephthalate by the alcoholysis. The obtained dioctyl terephthalate by the …
obtain the dioctyl terephthalate by the alcoholysis. The obtained dioctyl terephthalate by the …
[PDF][PDF] BIM 与云, 大数据, 物联网等技术的集成应用现状与未来
张云翼， 林佳瑞， 张建平 - 图学学报, 2018 - researchgate.net
近年来, 云计算, 大数据, 物联网等技术不断涌现, 并与建设工程中BIM 技术的应用不断融合,
越来越受到研究人员的关注. 然而, 尚未形成面向建设项目的统一集成应用框架. 因此 …
越来越受到研究人员的关注. 然而, 尚未形成面向建设项目的统一集成应用框架. 因此 …
An intelligent system for smart buildings using machine learning and semantic technologies: A hybrid data-knowledge approach
I Szilagyi, P Wira - 2018 IEEE Industrial Cyber-Physical …, 2018 - ieeexplore.ieee.org
The Internet of Things allowed us to seamlessly integrate communication and computational
capabilities into everyday things that resulted in a technologically enhanced environment …
capabilities into everyday things that resulted in a technologically enhanced environment …
Load profile of typical residential buildings in Bulgaria
In the current market design, the increasing use of renewable energy sources for electricity
generation leads to new challenges in balancing supply and demand. While households are …
generation leads to new challenges in balancing supply and demand. While households are …
Análisis Big Data para la Respuesta a la Demanda en el Mercado Eléctrico
JA Fábregas, JM Luna Romera… - CAEPIA 2018: XVIII …, 2018 - idus.us.es
El modelo de negocio tradicional de las compañías energéticas está cambiando los últimos
años. La introducción de los contadores inteligentes ha conll evado un aumento …
años. La introducción de los contadores inteligentes ha conll evado un aumento …