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Social Implications of Cyber-Physical Systems in Electrical Load Forecasting

https://doi.org/10.1109/case48305.2020.9216802

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-64057-0openalex-snapshot

Intelligent Transportation Systems

inferredcites →https://doi.org/10.1007/978-3-642-24797-2_2openalex-snapshot

Supervised Sequence Labelling

inferredcites →https://doi.org/10.1007/s00521-014-1809-4openalex-snapshot

Short-term load forecasting using fuzzy logic and ANFIS

inferredcites →https://doi.org/10.1016/j.apenergy.2015.06.032openalex-snapshot

Prevention and control policy analysis for energy-related regional pollution management in China

inferredcites →https://doi.org/10.1016/j.enconman.2015.07.041openalex-snapshot

Day-ahead load forecast using random forest and expert input selection

inferredcites →https://doi.org/10.1016/j.energy.2018.09.069openalex-snapshot

A cyber-physical-social system with parallel learning for distributed energy management of a microgrid

inferredcites →https://doi.org/10.1016/j.epsr.2016.08.031openalex-snapshot

A novel multi-time-scale modeling for electric power demand forecasting: From short-term to medium-term horizon

inferredcites →https://doi.org/10.1016/j.ijforecast.2015.11.011openalex-snapshot

Probabilistic electric load forecasting: A tutorial review

inferredcites →https://doi.org/10.1016/j.jclepro.2014.06.011openalex-snapshot

Potential impacts of industrial structure on energy consumption and CO2 emission: a case study of Beijing

inferredcites →https://doi.org/10.1016/j.jclepro.2015.08.013openalex-snapshot

Legislation, plans, and policies for prevention and control of air pollution in China: achievements, challenges, and improvements

inferredcites →https://doi.org/10.1016/j.jclepro.2017.12.133openalex-snapshot

A study on the contribution of industrial restructuring to reduction of carbon emissions in China during the five Five-Year Plan periods

inferredcites →https://doi.org/10.1016/j.knosys.2018.01.015openalex-snapshot

Ensemble incremental learning Random Vector Functional Link network for short-term electric load forecasting

inferredcites →https://doi.org/10.1016/j.resconrec.2018.05.019openalex-snapshot

Coal power overcapacity in China: Province-Level estimates and policy implications

inferredcites →https://doi.org/10.1016/j.rser.2016.12.092openalex-snapshot

Electric power substitution for coal in China: Status quo and SWOT analysis

inferredcites →https://doi.org/10.1088/1755-1315/113/1/012127openalex-snapshot

Application of XGBoost algorithm in hourly PM2.5 concentration prediction

inferredcites →https://doi.org/10.1109/access.2018.2816565openalex-snapshot

Research on a Fusion Scheme of Cellular Network and Wireless Sensor for Cyber Physical Social Systems

inferredcites →https://doi.org/10.1109/appeec.2012.6307555openalex-snapshot

A Study on Exponential Smoothing Model for Load Forecasting

inferredcites →https://doi.org/10.1109/icsai.2012.6223060openalex-snapshot

Based on the ARIMA model with grey theory for short term load forecasting model

inferredcites →https://doi.org/10.1109/ispan-fcst-iscc.2017.78openalex-snapshot

Everything is Image: CNN-based Short-Term Electrical Load Forecasting for Smart Grid

inferredcites →https://doi.org/10.1109/kam.2008.68openalex-snapshot

Power System Short-Term Load Forecasting Based on Improved Support Vector Machines

inferredcites →https://doi.org/10.1109/mis.2010.104openalex-snapshot

The Emergence of Intelligent Enterprises: From CPS to CPSS

inferredcites →https://doi.org/10.1109/peci.2015.7064913openalex-snapshot

Short-term electricity load forecasting using time series and ensemble learning methods

inferredcites →https://doi.org/10.1109/pecon.2008.4762735openalex-snapshot

Autoregressive method in short term load forecast

inferredcites →https://doi.org/10.1136/oem.58.6.374openalex-snapshot

Short term influence of mechanical factors on regional musculoskeletal pain: a study of new workers from 12 occupational groups

inferredcites →https://doi.org/10.1145/3318299.3318353openalex-snapshot

Power Load Forecasting Using a Refined LSTM

inferredcites →https://doi.org/10.1145/3357777.3357792openalex-snapshot

Power Load Forecasting Based on the Combined Model of LSTM and XGBoost

inferredcites →https://doi.org/10.1609/aaai.v33i01.33015297openalex-snapshot

HyperAdam: A Learnable Task-Adaptive Adam for Network Training

inferredcites →https://doi.org/10.3390/su11102983openalex-snapshot

Forecasting the Short-Term Electric Load Considering the Influence of Air Pollution Prevention and Control Policy via a Hybrid Model

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.4687769openalex-extracted

Cyber-Physical Power Systems: A Comprehensive Review About Drivers, Standards, and Future Perspectives

inferred← citeshttps://doi.org/10.1080/15567036.2025.2512991openalex-snapshot

The role of Industry 5.0 in the energy system: A conceptual framework

inferred← citeshttps://doi.org/10.1109/jsyst.2023.3310548openalex-snapshot

Short-Term Load Forecasting Reliability in Power Plant of Cyber-Physical Energy System Considering Adaptive Denoising

inferred← citeshttps://doi.org/10.3390/electronics11233854openalex-snapshot

Cybersecurity Enhancement of Smart Grid: Attacks, Methods, and Prospects

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