[HTML][HTML] Electricity demand forecasting in industrial and residential facilities using ensemble machine learning

R Porteiro, L Hernández-Callejo… - Revista Facultad de …, 2022 - scielo.org.co
This article presents electricity demand forecasting models for industrial and residential
facilities, developed using ensemble machine learning strategies. Short term electricity …

Geographical address representation learning for address matching

S Shan, Z Li, Q Yang, A Liu, L Zhao, G Liu, Z Chen - World Wide Web, 2020 - Springer
Address matching is a crucial task in various location-based businesses like take-out
services and express delivery, which aims at identifying addresses referring to the same …

Enhanced semantic representation model for multisource point of interest attribute alignment

P Li, Y Wang, J Liu, A Luo, S Xu, Z Zhang - Information Fusion, 2023 - Elsevier
Multisource point of interest (POI) attribute alignment is the consistent processing of
heterogeneous attribute values from different data sources pointing to the same POI data …

Chinese address standardisation of POIs based on GRU and spatial correlation and applied in multi-source emergency events fusion

A Luo, J Liu, P Li, Y Wang, S Xu - International Journal of Image …, 2021 - Taylor & Francis
ABSTRACT A large number of users' microblogs and various Points of Interest (POIs) of
public service facilities in social media provide abundant data resources for the emergency …

顾及位置关系的网络POI 地址信息标准化处理方法

王勇, 刘纪平, 郭庆胜, 罗安 - 测绘学报, 2016 - xb.chinasmp.com
针对互联网POI (兴趣点) 地址信息中广泛存在的地址要素不完整, 文字表达不一致等不规范现象,
提出一种顾及位置关系的网络POI 地址信息标准化处理方法, 首先对POI 信息进行切分提取并逐 …

The standardization method of address information for pois from internet based on positional relation

W Yong, LIU Jiping, GUO Qingsheng… - Acta Geodaetica et …, 2016 - xb.chinasmp.com
As points of interest (POI) on the internet, exists widely incomplete addresses and
inconsistent literal expressions, a fast standardization processing method of network POIs …

Improvement in semantic address matching using natural language processing

V Gupta, M Gupta, J Garg… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Address matching is an important task for many businesses especially delivery and take out
companies which help them to take out a certain address from their data warehouse …

DeepAM: Deep semantic address representation for address matching

S Shan, Z Li, Y Qiang, A Liu, J Xu, Z Chen - … 1–3, 2019, Proceedings, Part I …, 2019 - Springer
Address matching is a crucial task in various location-based businesses like take-out
services and express delivery, which aims at identifying addresses referring to the same …

Elementization of Thai postal addresses: A hybrid approach

I Mulasastra, A Taplaksint - 2015 IEEE International WIE …, 2015 - ieeexplore.ieee.org
Postal addresses are common data among various databases. However, address structures
may be defined differently, especially in Thailand, where national data standards have not …

[PDF][PDF] Electricity demand forecasting in industrial and residential facilities using ensemble

R Porteiro, L Hernández-Callejo - … , Universidad de Antioquia, No. xx, pp. xx … - academia.edu
This article presents electricity demand forecasting models for industrial and residential
facilities, developed using ensemble machine learning strategies. Short term electricity …