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Load forecasting models in smart grid using smart meter information: a review
The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …
the reliability and sustainability of power supply by operating in self-control mode to find and …
Optimizing the thermal performance of solar energy devices using meta-heuristic algorithms: A critical review
Since solar energy is intermittent, finding the best solutions for solar operated devices is a
challenge. Multiple techniques exist to reach the best solutions for optimal solar operated …
challenge. Multiple techniques exist to reach the best solutions for optimal solar operated …
Electrical load forecasting models: A critical systematic review
Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …
increasing academic interest. Forecasting enables informed and efficient responses for …
Forecasting methods in energy planning models
KB Debnath, M Mourshed - Renewable and Sustainable Energy Reviews, 2018 - Elsevier
Energy planning models (EPMs) play an indispensable role in policy formulation and energy
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
sector development. The forecasting of energy demand and supply is at the heart of an EPM …
Big data driven smart energy management: From big data to big insights
K Zhou, C Fu, S Yang - Renewable and sustainable energy reviews, 2016 - Elsevier
Large amounts of data are increasingly accumulated in the energy sector with the
continuous application of sensors, wireless transmission, network communication, and cloud …
continuous application of sensors, wireless transmission, network communication, and cloud …
[HTML][HTML] Computational intelligence approaches for energy load forecasting in smart energy management grids: state of the art, future challenges, and research …
Energy management systems are designed to monitor, optimize, and control the smart grid
energy market. Demand-side management, considered as an essential part of the energy …
energy market. Demand-side management, considered as an essential part of the energy …
Energy models for demand forecasting—A review
Energy is vital for sustainable development of any nation–be it social, economic or
environment. In the past decade energy consumption has increased exponentially globally …
environment. In the past decade energy consumption has increased exponentially globally …
Prediction of full load electrical power output of a base load operated combined cycle power plant using machine learning methods
P Tüfekci - International Journal of Electrical Power & Energy …, 2014 - Elsevier
Predicting full load electrical power output of a base load power plant is important in order to
maximize the profit from the available megawatt hours. This paper examines and compares …
maximize the profit from the available megawatt hours. This paper examines and compares …
Optimization methods applied to renewable and sustainable energy: A review
Energy is a vital input for social and economic development. As a result of the generalization
of agricultural, industrial and domestic activities the demand for energy has increased …
of agricultural, industrial and domestic activities the demand for energy has increased …
Electrical load forecasting models for different generation modalities: a review
The intelligent management of power in electrical utilities depends on the high significance
of load forecasting models. Since the industries are digitalized, power generation is …
of load forecasting models. Since the industries are digitalized, power generation is …