The role of power-to-X in hybrid renewable energy systems: A comprehensive review
The demographic growth and the irreversible decline of fossil fuel deposits argue for
alternative resources to meet energy demand. The main challenge is to make renewable …
alternative resources to meet energy demand. The main challenge is to make renewable …
A critical and comparative review of energy management strategies for microgrids
Energy management (EM) can be defined as the process of monitoring, planning,
optimizing, and saving energy to obtain an energy-efficient system. A microgrid (MG) is …
optimizing, and saving energy to obtain an energy-efficient system. A microgrid (MG) is …
A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid
Real-time, accurate, and stable forecasting plays a vital role in making strategic decisions in
the smart grid (SG). This ensures economic savings, effective planning, and reliable and …
the smart grid (SG). This ensures economic savings, effective planning, and reliable and …
A performance comparison of machine learning algorithms for load forecasting in smart grid
With the rapid increase in the world's population, the global electricity demand has
increased drastically. Therefore, it is required to adopt efficient energy management …
increased drastically. Therefore, it is required to adopt efficient energy management …
Models and algorithms for production planning, scheduling and sequencing problems: A holistic framework and a systematic review
Production planning, scheduling and sequencing comprise the core of the manufacturing
companies' performance. The new and changing market demands make manufacturing a …
companies' performance. The new and changing market demands make manufacturing a …
Digital twin-driven dynamic scheduling of a hybrid flow shop
Industries require, nowadays, to be more adaptable to unforeseen real-time events as well
as to the rapid evolution of their market (eg multiplication of customers, increasingly …
as to the rapid evolution of their market (eg multiplication of customers, increasingly …
[HTML][HTML] A hybrid framework for short term load forecasting with a navel feature engineering and adaptive grasshopper optimization in smart grid
Short-term load forecasting (STLF) enables distribution system operators to perform efficient
energy management by flexibly engaging energy consumers under the intelligent demand …
energy management by flexibly engaging energy consumers under the intelligent demand …
A comparative study on bio-inspired algorithms for sentiment analysis
A Yadav, DK Vishwakarma - Cluster Computing, 2020 - Springer
Data mining is one of the most explored and ongoing areas of research. Sentiment analysis
is a popular application of data mining, where the information regarding the customer's …
is a popular application of data mining, where the information regarding the customer's …
Metaheuristics paradigms for renewable energy systems: advances in optimization algorithms
In recent days, many novel techniques and technologies are developing for power
generation. Most of them are in its developed phase but its efficiency and reliability are low …
generation. Most of them are in its developed phase but its efficiency and reliability are low …
Hybrid grey wolf sunflower optimisation algorithm for energy‐efficient cluster head selection in wireless sensor networks for lifetime enhancement
L Nagarajan, S Thangavelu - Iet Communications, 2021 - Wiley Online Library
Wireless sensor networks (WSNs) are expected to find extensive applicability and
accelerating deployment in the future. However, the main challenge faced in WSN is its …
accelerating deployment in the future. However, the main challenge faced in WSN is its …