Methods of forecasting electric energy consumption: A literature review
RV Klyuev, ID Morgoev, AD Morgoeva, OA Gavrina… - Energies, 2022 - mdpi.com
Balancing the production and consumption of electricity is an urgent task. Its implementation
largely depends on the means and methods of planning electricity production. Forecasting is …
largely depends on the means and methods of planning electricity production. Forecasting is …
[HTML][HTML] Modeling and sensitivity analysis of grid-connected hybrid green microgrid system
The demonstrated research work analyses the technoeconomic modelling and sensitivity
analysis of the available resources for the rural community in India. The various resources …
analysis of the available resources for the rural community in India. The various resources …
Profit maximization of retailers with intermittent renewable sources and energy storage systems in deregulated electricity market with modern optimization techniques …
N Chakraborty, NBD Choudhury, PK Tiwari - Renewable Energy Focus, 2023 - Elsevier
The impact of integrating hybrid (wind and solar) renewable energy sources with energy
storage devices in Micro-grid (MG) operations under the deregulated electricity market is …
storage devices in Micro-grid (MG) operations under the deregulated electricity market is …
A novel machine learning-based price forecasting for energy management systems
Price forecasting (PF) is the primary concern in distributed power generation. This paper
presents a novel and improved technique to forecast electricity prices. The data of various …
presents a novel and improved technique to forecast electricity prices. The data of various …
Multi-task learning for electricity price forecasting and resource management in cloud based industrial IoT systems
AA Almazroi, N Ayub - IEEE Access, 2023 - ieeexplore.ieee.org
Cloud computing has gained immense popularity in the logistics industry. This innovative
technology optimizes computing operations by eliminating the requirement for physical …
technology optimizes computing operations by eliminating the requirement for physical …
An optimized fuzzy based control solution for frequency oscillation reduction in electric grids
The demand for uninterruptible electricity supply is increasing, and the power engineering
sector has started researching alternative solutions. Distributed generation (DG) …
sector has started researching alternative solutions. Distributed generation (DG) …
Electricity Load Demand Prediction for Microgrid Energy Management System Using Hybrid Adaptive Barnacle‐Mating Optimizer with Artificial Neural Network …
In recent years, one of the primary causes of high electricity consumption is the growing
global population and the availability of power‐demanding smart devices. As a result …
global population and the availability of power‐demanding smart devices. As a result …
Training strategy of fuzzy-firefly based ANN in non-linear channel equalization
Channel equalization is remaining a challenge for the researcher. Especially for the non-
linear channel as well as the extremely dispersive channel, an effective channel equalizer is …
linear channel as well as the extremely dispersive channel, an effective channel equalizer is …
Hourly Heat Load Prediction for Residential Buildings Based on Multiple Combination Models: A Comparative Study
The accurate prediction of residential heat load is crucial for effective heating system design,
energy management, and cost optimization. In order to further improve the prediction …
energy management, and cost optimization. In order to further improve the prediction …
[HTML][HTML] Predicting residential water and electricity usage profiles with a temporal histogram model
The temporal histogram model and synthesiser that is presented in this paper statistically
models the unique usage behaviour of electricity or hot water usage for individual residential …
models the unique usage behaviour of electricity or hot water usage for individual residential …