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A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 2, doi: 10.1007/s11783-023-1622-3

Abstract:

● A novel deep learning framework for short-term water demand forecasting

Keywords： Short-term water demand forecasting Long-short term memory neural network Convolutional Neural Network

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Modeling and simulation of industrial water demand of Beijing municipality in China

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1, Pages 91-101 doi: 10.1007/s11783-010-0007-6

Abstract: demand, water deficits, and their future uncertainty in Beijing—a Chinese city with a severe waterA forecasting model was selected based on a modeling evaluation by comparing predictions with observationsFour scenarios were designed to simulate and analyze the future uncertainty of industrial water demandThe modeling results for industrial water demand suggested that Beijing industry would face a water deficitdemand would decrease from 6.31× 10 m to 4.84 × 10 m during this period of time

Keywords： water scarcity water demand water deficit modeling industry scenario Beijing

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2, Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionthe set of optimal locations of monitoring stations obtained using the DCI method can represent the waterquality of water distribution systems under multiple demand patterns better than the one obtained using

Keywords： demand coverage monitoring optimization water distribution network water quality

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Natural ecological water demand in the lower Heihe River

FU Xinfeng, HE Hongmou, JIANG Xiaohui, WANG Guoqing, YANG Shengtian

Frontiers of Environmental Science & Engineering 2008, Volume 2, Issue 1, Pages 63-68 doi: 10.1007/s11783-008-0022-z

Abstract: To restore the ecological environment in the lower Heihe River, the ecological water demand should beBased on the analysis for the Quota of the natural ecological water demand in the lower Heihe River andthe determination of the natural ecological water demand calculation method, the ecological water demandFinally, the natural ecological water demand in the lower Heihe River under the current situation wasIn comparison, the natural ecological water demand in the lower Heihe River is 3.91–4.05 × 10 m.

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Frontiers in Energy 2017, Volume 11, Issue 2, Pages 175-183 doi: 10.1007/s11708-017-0471-9

Abstract: To take full advantage of the environmental benefits of wind energy, wind power forecasting has to bePower forecasting for regional wind farm groups is the problem that many power system operators care

Keywords： regional wind power forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component

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Cleaning the energy sources for water heating among Nanjing households: barriers and opportunities for

Lingyun ZHU,Beibei LIU,Jun BI

Frontiers of Environmental Science & Engineering 2014, Volume 8, Issue 5, Pages 757-766 doi: 10.1007/s11783-013-0603-3

Abstract: Energy for water heating accounts for an increasing part in residential energy demand in China.An extensive survey was conducted to analyze the determinants of household energy choices for water heaters’s education degree and energy-conserving sense are crucial determinants in choosing natural gas as waterfactors in choosing solar water heaters.Based on these, barriers and opportunities are discussed for transitions toward cleaner water heating

Keywords： residential energy demand water heating multinomial logit model

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Modeling and verifying chlorine decay and chloroacetic acid formation in drinking water chlorination

Wenjun LIU, Shaoying QI,

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 1, Pages 65-72 doi: 10.1007/s11783-010-0010-y

Abstract: This study presents a phenomenological model that can be used by the water professionals to quantifychlorine decay and disinfection byproduct (DBP) formation in water.The kinetic model was developed by introducing the concept of limiting chlorine demand and extendingThe limiting chlorine demand, which quantifies chlorine reactive natural organic matter (NOM) on an equivalentIt was found experimentally that NOM in water has limiting chlorine demand that increases with chlorine

Keywords： chlorine demand chlorine decay chloroacetic acids disinfection byproducts model

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A comprehensive review and analysis of solar forecasting techniques

Pardeep SINGLA, Manoj DUHAN, Sumit SAROHA

Frontiers in Energy 2022, Volume 16, Issue 2, Pages 187-223 doi: 10.1007/s11708-021-0722-7

Abstract: Solar forecasting plays a vital role in smooth operation, scheduling, and balancing of electricity productionNumerous models and techniques have been developed in short, mid and long-term solar forecasting.This paper analyzes some of the potential solar forecasting models based on various methodologies discussed

Keywords： forecasting techniques hybrid models neural network solar forecasting error metric support vector machine

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MILP synthesis of separation processes for waste oil-in-water emulsions treatment

Zorka N. Pintarič,Gorazd P. Škof,Zdravko Kravanja

Frontiers of Chemical Science and Engineering 2016, Volume 10, Issue 1, Pages 120-130 doi: 10.1007/s11705-016-1559-1

Abstract: This paper presents a novel synthesis method for designing integrated processes for oil-in-water (O/WIntegrated processes composed of selected separation techniques for given ranges of input chemical oxygen demandindustrial case study for deriving optimal combinations of technologies for treating diverse oil-in-waterprocess for reducing the COD values below maximal allowable limits for discharging effluent into surface water

Keywords： oil-in-water emulsion chemical oxygen demand superstructure process synthesis MILP

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Conceptual study on incorporating user information into forecasting systems

Jiarui HAN, Qian YE, Zhongwei YAN, Meiyan JIAO, Jiangjiang XIA

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 4, Pages 533-542 doi: 10.1007/s11783-010-0246-6

Abstract: An ideal forecasting system would incorporate user-end information.community has begun to realize that while general improvements to the physical characteristics of weather forecastingThe weather forecasting system should include user interaction because user needs may change with differentA study was conducted on the conceptual forecasting system that included a dynamic, user-oriented interactiveinteractive grand global ensemble) project in China, a case study that was conducted to test the new forecasting

Keywords： user-end information user-oriented interactive forecasting system TIGGE (THORPEX interactive grand global

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Analysis of US National Research Council’s Persistent Forecasting System of Disruptive Technologies

Zhang Xiaolin

Strategic Study of CAE 2018, Volume 20, Issue 6, Pages 117-121 doi: 10.15302/J-SSCAE-2018.06.019

Abstract:

The National Research Council’s (NRC) report on Persistent Forecastingof Disruptive Technologies analyzes the key issues of disruptive technology forecasting and proposesan ideal persistent forecasting system model.On this basis, the paper summarizes the connotation and challenges of disruptive technology forecastingFinally, the enlightenment of the research on disruptive technology forecasting is proposed, thus to

Keywords： disruptive technologies persistent forecasting ideal forecasting system

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1, Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: This paper proposes the day-ahead electricity price forecasting using the artificial neural networksPrice forecasting is very important for online trading, e-commerce and power system operation.data for the electricity price forecasting tool.The data used for this price forecasting is obtained from the PJM website.forecasting approach.

Keywords： day-ahead electricity markets price forecasting load forecasting artificial neural networks load serving

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Forecasting industrial emissions: a monetary approach

Yang DONG, Yi LIU, Jining CHEN, Yebin DONG, Benliang QU

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 5, Pages 734-742 doi: 10.1007/s11783-012-0451-6

Abstract: Forecasts of industrial emissions provide a basis for impact assessment and development planning. To date, most studies have assumed that industrial emissions are simply coupled to production value at a given stage of technical progress. It has been argued that the monetary method tends to overestimate pollution loads because it is highly influenced by market prices and fails to address spatial development schemes. This article develops a land use-based environmental performance index (L-EPI) that treats the industrial land areas as a dependent variable for pollution emissions. The basic assumption of the method is that at a planning level, industrial land use change can represent the change in industrial structure and production yield. This physical metric provides a connection between the state-of-the-art and potential impacts of future development and thus avoids the intrinsic pitfalls of the industrial Gross Domestic Product-based approach. Both methods were applied to examine future industrial emissions at the planning area of Dalian Municipality, North-west China, under a development scheme provided by the urban master plan. The results suggested that the L-EPI method is highly reliable and applicable for the estimation and explanation of the spatial variation associated with industrial emissions.

Keywords： industrial emissions environmental performance index spatial planning industrial land use

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Intelligent Forecasting Mode and Approach of Mid and Long Term Intelligent Hydrological Forecasting

Chen Shouyu,Guo Yu,Wang Dagang

Strategic Study of CAE 2006, Volume 8, Issue 7, Pages 30-35

Abstract: synthesizes fuzzy optimal selection, BP neural network and genetic algorithm and establishes intelligent forecastingamount of training samples, and gets relative membership degree matrix according to the correlation of forecastingfactors and forecasting objective, then takes the matrix as input of BP neural network to train link-weights, and finally, uses gained link-weight values to verify forecasting.results are highly promising and show that the operation speed, precision and stability of intelligent forecasting

Keywords： fuzzy optimal selection BP neural network genetic algorithm intelligent forecasting mode mid and longterm intelligent hydrological forecasting

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords： bike share systems demand prediction prediction errors machine learning entropy

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Title Author Date Type Operation

A hybrid Wavelet-CNN-LSTM deep learning model for short-term urban water demand forecasting

Journal Article

Modeling and simulation of industrial water demand of Beijing municipality in China

Shouke WEI, Shafi Noor ISLAM, Alin LEI,

Journal Article

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article

Natural ecological water demand in the lower Heihe River

FU Xinfeng, HE Hongmou, JIANG Xiaohui, WANG Guoqing, YANG Shengtian

Journal Article

Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

Journal Article

Cleaning the energy sources for water heating among Nanjing households: barriers and opportunities for

Lingyun ZHU,Beibei LIU,Jun BI

Journal Article

Modeling and verifying chlorine decay and chloroacetic acid formation in drinking water chlorination