On the public citation graph
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
0 signed · 88 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-13068-8_55openalex-snapshot
Optimization of Energy Consumption in Activated Sludge Process Using Deep Learning Selective Modeling
inferredcites →https://doi.org/10.1007/978-3-030-62362-3_32openalex-snapshot
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
inferredcites →https://doi.org/10.1007/978-3-319-54193-8_14openalex-snapshot
R-CNN for Small Object Detection
inferredcites →https://doi.org/10.1007/978-3-642-46466-9_18openalex-snapshot
Neocognitron: A Self-Organizing Neural Network Model for a Mechanism of Visual Pattern Recognition
inferredcites →https://doi.org/10.1007/s12145-020-00477-2openalex-snapshot
A deep learning approach for hydrological time-series prediction: A case study of Gilgit river basin
inferredcites →https://doi.org/10.1016/j.biombioe.2019.105420openalex-snapshot
Optimization of the energy consumption in activated sludge process using deep learning selective modeling
inferredcites →https://doi.org/10.1016/j.energy.2020.117081openalex-snapshot
Wind power forecasting using attention-based gated recurrent unit network
inferredcites →https://doi.org/10.1016/j.eswa.2018.04.004openalex-snapshot
Web traffic anomaly detection using C-LSTM neural networks
inferredcites →https://doi.org/10.1016/j.jclepro.2019.05.331openalex-snapshot
Innovative information and communication technology (ICT) system for energy management of public utilities in a post-disaster region: Case study of a wastewater treatment plant in Fukushima
inferredcites →https://doi.org/10.1016/j.neucom.2018.12.016openalex-snapshot
Traffic flow prediction using LSTM with feature enhancement
inferredcites →https://doi.org/10.1016/j.neunet.2014.09.003openalex-snapshot
Deep learning in neural networks: An overview
inferredcites →https://doi.org/10.1016/j.resconrec.2016.12.005openalex-snapshot
Efficiency assessment of urban wastewater treatment plants in China: Considering greenhouse gas emissions
inferredcites →https://doi.org/10.1016/j.rser.2007.05.001openalex-snapshot
Energy, environment and sustainable development
inferredcites →https://doi.org/10.1016/j.rser.2017.04.109openalex-snapshot
Electricity generation and GHG emission reduction potentials through different municipal solid waste management technologies: A comparative review
inferredcites →https://doi.org/10.1080/23249935.2019.1637966openalex-snapshot
Short-term traffic flow prediction based on spatio-temporal analysis and CNN deep learning
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
inferredcites →https://doi.org/10.1109/bigcomp.2017.7881726openalex-snapshot
Short-term load forecasting in smart grid: A combined CNN and K-means clustering approach
inferredcites →https://doi.org/10.1109/dsn.2017.34openalex-snapshot
Multi-level Anomaly Detection in Industrial Control Systems via Package Signatures and LSTM Networks
inferredcites →https://doi.org/10.1109/icarcv.2014.7064414openalex-snapshot
Medical image classification with convolutional neural network
inferredcites →https://doi.org/10.1109/icicct.2018.8473167openalex-snapshot
Weather Forecasting Using Artificial Neural Network
inferredcites →https://doi.org/10.1109/itsc.2017.8317872openalex-snapshot
Short-term traffic flow prediction with LSTM recurrent neural network
inferredcites →https://doi.org/10.1109/jsen.2020.3030584openalex-snapshot
A Data-Driven Soft Sensor to Forecast Energy Consumption in Wastewater Treatment Plants: A Case Study
inferredcites →https://doi.org/10.1109/tnnls.2019.2946414openalex-snapshot
Deep Learning Method Based on Gated Recurrent Unit and Variational Mode Decomposition for Short-Term Wind Power Interval Prediction
inferredcites →https://doi.org/10.1113/jphysiol.1962.sp006837openalex-snapshot
Receptive fields, binocular interaction and functional architecture in the cat's visual cortex
inferredcites →https://doi.org/10.1155/2019/8690898openalex-snapshot
Analysis and Forecasting of the Energy Consumption in Wastewater Treatment Plant
inferredcites →https://doi.org/10.15388/20-infor431openalex-snapshot
Long Short-Term Memory Networks for Traffic Flow Forecasting: Exploring Input Variables, Time Frames and Multi-Step Approaches
inferredcites →https://doi.org/10.2166/wrd.2016.196openalex-snapshot
Analysis of energy efficiency and energy consumption costs: a case study for regional wastewater treatment plant in Malaysia
inferredcites →https://doi.org/10.2166/wst.2012.563openalex-snapshot
Energy consumption model for wastewater treatment process control
inferredcites →https://doi.org/10.2172/1036045openalex-snapshot
Energy Efficiency Strategies for Municipal Wastewater Treatment Facilities
inferredcites →https://doi.org/10.3115/v1/w14-4012openalex-snapshot
On the Properties of Neural Machine Translation: Encoder–Decoder Approaches
inferredcites →https://doi.org/10.3390/app9214533openalex-snapshot
Integrated Predictor Based on Decomposition Mechanism for PM2.5 Long-Term Prediction
inferredcites →https://doi.org/10.3390/atmos11050457openalex-snapshot
Time Series Analysis and Forecasting Using a Novel Hybrid LSTM Data-Driven Model Based on Empirical Wavelet Transform Applied to Total Column of Ozone at Buenos Aires, Argentina (1966–2017)
inferredcites →https://doi.org/10.3390/en11082163openalex-snapshot
Gated Recurrent Unit Network-Based Short-Term Photovoltaic Forecasting
inferredcites →https://doi.org/10.3390/en12010161openalex-snapshot
Research on Gas Concentration Prediction Models Based on LSTM Multidimensional Time Series
inferredcites →https://doi.org/10.3390/s20113089openalex-snapshot
Statistical Explorations and Univariate Timeseries Analysis on COVID-19 Datasets to Understand the Trend of Disease Spreading and Death
inferredcites →https://doi.org/10.48550/arxiv.1412.3555openalex-snapshot
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4744034openalex-extracted
Measuring Sustainability Performance in Wastewater Treatment: Insights from Green Manufacturing Constructs
inferred← citeshttps://doi.org/10.1007/978-3-030-86261-9_14openalex-snapshot
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
inferred← citeshttps://doi.org/10.1007/978-3-030-91608-4_44openalex-snapshot
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
inferred← citeshttps://doi.org/10.1007/978-3-031-60218-4_7openalex-snapshot
Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant
inferred← citeshttps://doi.org/10.1007/978-3-031-68919-2_3openalex-snapshot
Data Science for the Promotion of Sustainability in Smart Water Distribution Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-28997-1_28openalex-snapshot
Explainable Uncertainty Quantification for Wastewater Treatment Energy Prediction via Interval Type-2 Neuro-Fuzzy System
inferred← citeshttps://doi.org/10.1007/978-981-96-7202-8_1openalex-snapshot
Sustainable Cities Based on Artificial Intelligence of Everything (AIoE)
inferred← citeshttps://doi.org/10.1007/s10489-025-06457-7openalex-snapshot
A new deep learning-based approach for predicting the geothermal heat pump’s thermal power of a real bioclimatic house
inferred← citeshttps://doi.org/10.1007/s12667-026-00800-8openalex-snapshot
Predicting monthly electricity consumption using machine learning algorithm towards zero carbon foot print
inferred← citeshttps://doi.org/10.1016/j.adapen.2022.100084openalex-snapshot
Transfer learning for smart buildings: A critical review of algorithms, applications, and future perspectives
inferred← citeshttps://doi.org/10.1016/j.apenergy.2022.120598openalex-snapshot
Online transfer learning strategy for enhancing the scalability and deployment of deep reinforcement learning control in smart buildings
inferred← citeshttps://doi.org/10.1016/j.chemolab.2026.105736openalex-snapshot
Curriculum transfer learning of intermediate quality indicators in wastewater treatment plants using progressive neural networks
inferred← citeshttps://doi.org/10.1016/j.dwt.2025.101273openalex-snapshot
Roadmap for Australian wastewater nutrient recovery – Towards a sustainable circular economy
inferred← citeshttps://doi.org/10.1016/j.dwt.2025.101432openalex-snapshot
Revolutionizing water and wastewater treatment: Data-driven approaches for advanced solutions
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112338openalex-snapshot
Toward sustainable wastewater treatment: Transformer ensembles and multitask learning for energy consumption and quality management
inferred← citeshttps://doi.org/10.1016/j.envres.2025.123449openalex-snapshot
Advancing carbon-neutral wastewater treatment: Artificial intelligence-driven strategies for emission mitigation and process optimization
inferred← citeshttps://doi.org/10.1016/j.jenvman.2024.123209openalex-snapshot
A novel hybrid variable cross layer-based machine learning model improves the accuracy and interpretation of energy intensity prediction of wastewater treatment plant
inferred← citeshttps://doi.org/10.1016/j.jenvman.2026.129078openalex-snapshot
Advances in transfer learning for smart wastewater treatment plants: Learning frameworks and emerging pathways
inferred← citeshttps://doi.org/10.1016/j.jenvman.2026.129440openalex-snapshot
Optimized hybrid deep learning model for accurate prediction of effluent quality in wastewater treatment plants
inferred← citeshttps://doi.org/10.1016/j.jenvman.2026.130037openalex-snapshot
Toward explainable and generalizable data-driven modeling in real wastewater treatment plants: Utilizing bidimensional interpretable deep learning and cross-scenario transfer learning
inferred← citeshttps://doi.org/10.1016/j.jprocont.2023.02.006openalex-snapshot
Transfer Learning in wastewater treatment plants control: Measuring the transfer suitability
inferred← citeshttps://doi.org/10.1016/j.procs.2025.08.135openalex-snapshot
A Review of Research on Intelligent Modeling Approaches for Rural Wastewater Quality Prediction
inferred← citeshttps://doi.org/10.1016/j.rineng.2023.101428openalex-snapshot
Energy consumption prediction in water treatment plants using deep learning with data augmentation
inferred← citeshttps://doi.org/10.1016/j.watres.2023.120518openalex-snapshot
Deep learning in wastewater treatment: a critical review
inferred← citeshttps://doi.org/10.1021/acsestwater.3c00117openalex-snapshot
A Review of Computational Modeling in Wastewater Treatment Processes
inferred← citeshttps://doi.org/10.1088/1755-1315/1091/1/012057openalex-snapshot
Sustainable indicators for designing the wastewater treatment plant
inferred← citeshttps://doi.org/10.1109/access.2024.3426955openalex-snapshot
Deep Learning for Credit Card Fraud Detection: A Review of Algorithms, Challenges, and Solutions
inferred← citeshttps://doi.org/10.1109/icisaa62385.2024.10828836openalex-snapshot
A Hybrid CNN- GRU Approach with Transfer Learning for Advanced Waste Classification in Support of Environmental Sustainability
inferred← citeshttps://doi.org/10.1109/icscss69635.2026.11645617openalex-snapshot
TunaFly-Optimized Hybrid Spatio-Temporal Network for Multi-Domain Environmental Forecasting in Smart Cities
inferred← citeshttps://doi.org/10.1109/spin60856.2024.10511812openalex-snapshot
Ensembling is all you need? Evaluating machine learning models on predicting the energy imbalance of prosumers
inferred← citeshttps://doi.org/10.1111/exsy.70235openalex-snapshot
Exploring Transfer Learning's Impact on the Explainability of Deep Learning Models for Wastewater Treatment Plants' Biogas Production
inferred← citeshttps://doi.org/10.1111/wej.12945openalex-snapshot
Advancements in machine learning modelling for energy and emissions optimization in wastewater treatment plants: A systematic review
inferred← citeshttps://doi.org/10.1145/3563357.3567407openalex-snapshot
Utilizing autoencoders to improve transfer learning when sensor data is sparse
inferred← citeshttps://doi.org/10.17780/ksujes.1584253openalex-snapshot
A GRAPHICAL USER INTERFACE DESIGN FOR FORECASTING NUTRIENT CONCENTRATIONS IN WWTP
inferred← citeshttps://doi.org/10.2166/wqrj.2024.011openalex-snapshot
A critical review on applications of machine learning in wastewater treatment: insights and implications for distillery wastewater
inferred← citeshttps://doi.org/10.2166/wst.2024.375openalex-snapshot
A combined support vector regression with a firefly algorithm for prediction of energy consumption in wastewater treatment plants
inferred← citeshttps://doi.org/10.3233/aic-230064openalex-snapshot
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
inferred← citeshttps://doi.org/10.3390/ai5040101openalex-snapshot
Deep Learning in Finance: A Survey of Applications and Techniques
inferred← citeshttps://doi.org/10.3390/cmsf2025011004openalex-snapshot
Time Series Forecasting for Touristic Policies
inferred← citeshttps://doi.org/10.3390/electronics10212660openalex-snapshot
Neural Network Explainable AI Based on Paraconsistent Analysis: An Extension
inferred← citeshttps://doi.org/10.3390/electronics10222771openalex-snapshot
Advances in Public Transport Platform for the Development of Sustainability Cities
inferred← citeshttps://doi.org/10.3390/en15238919openalex-snapshot
Methods of Forecasting Electric Energy Consumption: A Literature Review
inferred← citeshttps://doi.org/10.3390/en16217408openalex-snapshot
Machine Learning-Based Energy Consumption Estimation of Wastewater Treatment Plants in Greece
inferred← citeshttps://doi.org/10.3390/en17205163openalex-snapshot
A Machine Learning Approach to Forecasting Hydropower Generation
inferred← citeshttps://doi.org/10.3390/math10224283openalex-snapshot
Prediction Model of Wastewater Pollutant Indicators Based on Combined Normalized Codec
inferred← citeshttps://doi.org/10.3390/technologies12100186openalex-snapshot
A Hybrid Deep Learning Approach with Generative Adversarial Network for Credit Card Fraud Detection
inferred← citeshttps://doi.org/10.3390/w15132349openalex-snapshot
Unlocking the Potential of Wastewater Treatment: Machine Learning Based Energy Consumption Prediction
inferred← citeshttps://doi.org/10.4491/ksee.2023.45.12.587openalex-snapshot
Comparing the Performance of Machine Learning and Deep Learning Algorithms in Wastewater Treatment Process
inferred← citeshttps://doi.org/10.55267/iadt.07.13623openalex-snapshot
Impact of artificial intelligence in the reduction of electrical consumption in wastewater treatment plants: a review
inferred← citeshttps://doi.org/10.7717/peerj-cs.1855openalex-snapshot
Multiangle perception-oriented environmental facility design method based on joint fuzzy decision-making and transfer learning
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.