[HTML][HTML] Data mining and machine learning to promote smart cities: A systematic review from 2000 to 2018
Smart cities (SC) promote economic development, improve the welfare of their citizens, and
help in the ability of people to use technologies to build sustainable services. However …
help in the ability of people to use technologies to build sustainable services. However …
A method for predicting long-term municipal water demands under climate change
The accurate forecast of water demand is challenging for water utilities, specifically when
considering the implications of climate change. As such, this is the first study that focuses on …
considering the implications of climate change. As such, this is the first study that focuses on …
[HTML][HTML] A novel methodology to predict monthly municipal water demand based on weather variables scenario
This study provides a novel methodology to predict monthly water demand based on several
weather variables scenarios by using combined techniques including discrete wavelet …
weather variables scenarios by using combined techniques including discrete wavelet …
Which method to use? An assessment of data mining methods in Environmental Data Science
Data Mining (DM) is a fundamental component of the Data Science process. Over recent
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
years a huge library of DM algorithms has been developed to tackle a variety of problems in …
Water demand forecasting accuracy and influencing factors at different spatial scales using a gradient boosting machine
M Xenochristou, C Hutton, J Hofman… - Water Resources …, 2020 - Wiley Online Library
Understanding, comparing, and accurately predicting water demand at different spatial
scales is an important goal that will allow effective targeting of the appropriate operational …
scales is an important goal that will allow effective targeting of the appropriate operational …
A short-term water demand forecasting model using multivariate long short-term memory with meteorological data
Sustainable management of water resources is a key challenge nowadays and in the future.
Water distribution systems have to ensure fresh water for all users in an increasing demand …
Water distribution systems have to ensure fresh water for all users in an increasing demand …
Municipal residential water consumption estimation techniques using traditional and soft computing approach: a review
HJ Surendra, PC Deka - Water Conservation Science and Engineering, 2022 - Springer
Rate of urbanization in towns and cities is so rapid, which leads to increase in the demand of
water. Any developmental activities depend on availability of water. It is necessary to serve …
water. Any developmental activities depend on availability of water. It is necessary to serve …
[HTML][HTML] Developing an LSTM model to forecast the monthly water consumption according to the effects of the climatic factors in Yazd, Iran
A Niknam, HK Zare, H Hosseininasab… - Journal of Engineering …, 2023 - Elsevier
Forecasting water demand based on past consumption patterns is one of the main methods
of planning the water supplies in urban areas, especially where water shortage and multiple …
of planning the water supplies in urban areas, especially where water shortage and multiple …
Short‐Term Electricity Consumption Forecasting Based on the EMD‐Fbprophet‐LSTM Method
G Zhu, S Peng, Y Lao, Q Su… - Mathematical Problems in …, 2021 - Wiley Online Library
Short‐term electricity consumption data reflects the operating efficiency of grid companies,
and accurate forecasting of electricity consumption helps to achieve refined electricity …
and accurate forecasting of electricity consumption helps to achieve refined electricity …
Employing demand prediction in pump as turbine plant design regarding energy recovery enhancement
Abstract Nowadays, Pump as Turbine (PAT) technology is broadly accepted as a proper
renewable generation tool, especially in small capacities. PAT plant design is dependent on …
renewable generation tool, especially in small capacities. PAT plant design is dependent on …