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An expert system approach to short-term load forecasting for Reliance Energy Limited, Mumbai

https://doi.org/10.1109/poweri.2006.1632604
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1109/59.192889openalex-snapshot
An expert system based algorithm for short term load forecast
inferredcites →https://doi.org/10.1109/59.99372openalex-snapshot
Short term load forecasting of Taiwan power system using a knowledge-based expert system
inferredcites →https://doi.org/10.1109/proc.1987.13927openalex-snapshot
Short-term load forecasting

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Hybrid PSO–SVM method for short-term load forecasting during periods with significant temperature variations in city of Burbank
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Deep belief network based electricity load forecasting: An analysis of Macedonian case
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A regional hybrid GOA-SVM model based on similar day approach for short-term load forecasting in Assam, India
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Season specific approach for short-term load forecasting based on hybrid FA-SVM and similarity concept
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Short-Term Load Forecasting using Dynamic Neural Networks
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Distributed Short-Term Load Forecasting for Interconnecting Power Systems
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Hybrid wavenet model for short term electrical load forecasting
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Load forecasting and its calibration method considering the influence of temperature
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Knowledge extraction model for power load characteristics of special days and extreme weather
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Ant Colony Based Feed Forward NN Short-Term Load Forecasting Model with Input Selection and DA Clustering
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Day ahead load forecasting models for holidays in Indian context
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Combination approaches for short term load forecasting
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Power Load Forecasting Model Based on Knowledge Discovery for Heilongjiang Province
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Quick Learn Approach for load forecasting during COVID 19 lockdown
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Identification of anomalous load profile for short term load forecasting
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Short-Term Load Forecasting using Dynamic Neural Networks
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A Multidisciplinary Approach for the Development of Smart Distribution Networks
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Short Term Load Prediction based on LSTM Network for Iraqi Thermal Power Plant
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