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Energy Consumption Prediction of District Cooling Systems Using Bp-Ann Algorithm Based on Weather Data

https://doi.org/10.2139/ssrn.4133467
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Cooling-load prediction by the combination of rough set theory and an artificial neural-network based on data-fusion technique
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A data-driven approach for steam load prediction in buildings
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Forecasting energy consumption of multi-family residential buildings using support vector regression: Investigating the impact of temporal and spatial monitoring granularity on performance accuracy
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Performance assessment of district cooling systems for a new development district at planning stage
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Building thermal load prediction through shallow machine learning and deep learning
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Attention-based interpretable neural network for building cooling load prediction
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Modeling and predicting building's energy use with artificial neural networks: Methods and results
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Building hourly thermal load prediction using an indexed ARX model
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Upgrade of an artificial neural network prediction method for electrical consumption forecasting using an hourly temperature curve model
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Energy analysis of a building using artificial neural network: A review
inferredcites →https://doi.org/10.1016/j.enbuild.2013.08.059openalex-extracted
Coupled simulation of natural ventilation and daylighting for a residential community design
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Day-ahead predictions of electricity consumption in a Swedish office building from weather, occupancy, and temporal data
inferredcites →https://doi.org/10.1016/j.enbuild.2016.07.014openalex-extracted
A data-driven strategy for detection and diagnosis of building chiller faults using linear discriminant analysis
inferredcites →https://doi.org/10.1016/j.enbuild.2017.02.035openalex-extracted
Space heating demand response potential of retrofitted residential apartment blocks
inferredcites →https://doi.org/10.1016/j.enbuild.2018.04.008openalex-extracted
Random Forest based hourly building energy prediction
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A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process
inferredcites →https://doi.org/10.1016/j.enbuild.2021.111793openalex-extracted
Model predictive control under weather forecast uncertainty for HVAC systems in university buildings
inferredcites →https://doi.org/10.1016/j.enconman.2008.08.033openalex-extracted
Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks
inferredcites →https://doi.org/10.1016/j.enconman.2015.06.073openalex-extracted
A research on a following day load simulation method based on weather forecast parameters
inferredcites →https://doi.org/10.1016/j.energy.2016.02.107openalex-extracted
An uncertainty-based design optimization method for district cooling systems
inferredcites →https://doi.org/10.1016/j.energy.2019.04.021openalex-extracted
Thermal load prediction in district heating systems
inferredcites →https://doi.org/10.1016/j.energy.2021.121328openalex-extracted
Data augmentation strategy for short-term heating load prediction model of residential building
inferredcites →https://doi.org/10.1016/j.ijthermalsci.2004.02.009openalex-extracted
Hourly cooling load prediction by a combined forecasting model based on Analytic Hierarchy Process
inferredcites →https://doi.org/10.1016/j.rser.2012.02.049openalex-extracted
A review on the prediction of building energy consumption
inferredcites →https://doi.org/10.1016/j.rser.2013.11.040openalex-extracted
A review on the basics of building energy estimation
inferredcites →https://doi.org/10.1016/j.rser.2019.03.023openalex-extracted
District cooling system via renewable energy sources: A review
inferredcites →https://doi.org/10.1016/j.scs.2016.02.015openalex-extracted
Analysis of the electricity consumptions: A first step to develop a district cooling system
inferredcites →https://doi.org/10.1016/j.scs.2019.101717openalex-extracted
Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales
inferredcites →https://doi.org/10.1016/j.scs.2019.101976openalex-extracted
Energy, cost, and environmental analysis of individuals and district cooling systems for a new residential city
inferredcites →https://doi.org/10.1016/j.scs.2019.101977openalex-extracted
A method and analysis of aquifer thermal energy storage (ATES) system for district heating and cooling: A case study in Finland
inferredcites →https://doi.org/10.1016/j.scs.2020.102224openalex-extracted
Street grids for efficient district cooling systems in high-density cities
inferredcites →https://doi.org/10.1016/j.scs.2020.102601openalex-extracted
Floor area density and land uses for efficient district cooling systems in high-density cities
inferredcites →https://doi.org/10.1016/j.solener.2021.12.011openalex-extracted
A historical weather forecast dataset from the European Centre for Medium-Range Weather Forecasts (ECMWF) for energy forecasting
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