A review of short term load forecasting using artificial neural network models

A Baliyan, K Gaurav, SK Mishra - Procedia Computer Science, 2015 - Elsevier
The electrical short term load forecasting has been emerged as one of the most essential
field of research for efficient and reliable operation of power system in last few decades. It …

Electric distribution systems

AA Sallam, OP Malik - 2018 - books.google.com
A comprehensive review of the theory and practice for designing, operating, and optimizing
electric distribution systems, revised and updated Now in its second edition, Electric …

Electric load forecasting methods: Tools for decision making

H Hahn, S Meyer-Nieberg, S Pickl - European journal of operational …, 2009 - Elsevier
For decision makers in the electricity sector, the decision process is complex with several
different levels that have to be taken into consideration. These comprise for instance the …

Notice of Violation of IEEE Publication Principles: Short-term load forecasting methods: A review

AK Srivastava, AS Pandey… - … International conference on …, 2016 - ieeexplore.ieee.org
Notice of Violation of IEEE Publication Principles" Short-Term Load Forecasting Methods: A
Review" By AK Srivastava, Ajay Shekhar Pandey and Devender Singh in the Proceedings of …

Security and stochastic economic dispatch of power system including wind and solar resources with environmental consideration

AA ElDesouky - International journal of renewable energy research, 2013 - dergipark.org.tr
With increasing concern of environmental protection, renewable energy sources are widely
applied as a mean to reach emission reduction. In this paper, Dynamic Economic Emission …

A novel centralized charging station planning strategy considering urban power network structure strength

Z Pan, Y Zhang - Electric Power Systems Research, 2016 - Elsevier
Considering detrimental impact on grid by sizeable and unpredictable electric vehicles
(EVs) loads, establishing centralized charging stations through swapping batteries can be …

Genetic algorithm model for profit maximization of generating companies in deregulated electricity markets

PS Georgilakis - Applied Artificial Intelligence, 2009 - Taylor & Francis
In deregulated and rapidly changing electricity markets, there is strong interest on how to
solve the new price-based unit commitment (PBUC) problem used by each generating …

A review on short term load forecasting using hybrid neural network techniques

MQ Raza, Z Baharudin - 2012 IEEE International Conference …, 2012 - ieeexplore.ieee.org
Load forecasting is very essential for the efficient and reliable operation of a power system.
Often uncertainties significantly decrease the prediction accuracy of load forecasting; this in …

Security constrained generation scheduling for grids incorporating wind, photovoltaic and thermal power

AA ElDesouky - Electric Power Systems Research, 2014 - Elsevier
In this paper, security constrained generation scheduling (SCGS) problem for a grid
incorporating thermal, wind and photovoltaic (PV) units is formulated. The formulation takes …

[HTML][HTML] Gab-SSDS: an AI-based similar days selection method for load forecast

Z Janković, B Vesin, A Selakov… - Frontiers in Energy …, 2022 - frontiersin.org
The important, while mostly underestimated, step in the process of short-term load
forecasting–STLF is the selection of similar days. Similar days are identified based on …