Greedy firefly algorithm for optimizing job scheduling in iot grid computing
The Internet of Things (IoT) is defined as interconnected digital and mechanical devices with
intelligent and interactive data transmission features over a defined network. The ability of …
intelligent and interactive data transmission features over a defined network. The ability of …
Adaptive neuro-fuzzy inference system based output power controller in grid-connected photovoltaic systems
The power obtained from the photovoltaic (PV) module is greatly influenced by module
temperature and the Sun's irradiations. To extract optimal power from PV modules, usually a …
temperature and the Sun's irradiations. To extract optimal power from PV modules, usually a …
Recent Advancements in Maximum Power Point Tracking with Hill Climbing Method for a PV System: A Review
CB Nzoundja Fapi, H Tchakounté, FT Tchatchueng… - Applied Solar …, 2023 - Springer
Increasing the efficiency of photovoltaic (PV) solar panels is more and more the quest of
many scientists because it is renewable and non-polluting energy. For this purpose, various …
many scientists because it is renewable and non-polluting energy. For this purpose, various …
Implementation of modified P&O and an adaptive fuzzy logic controller based MPPT tracking system under partial shading and variable environmental conditions
FA Eshete, DP Samajdar, A Kumar - Physica Scripta, 2024 - iopscience.iop.org
Most of the conventional Maximum Power Point Tracking (MPPT) Algorithms provide the
finest efficiency during uniform irradiation conditions, but under variable irradiation or partial …
finest efficiency during uniform irradiation conditions, but under variable irradiation or partial …
An Enhanced Firefly Algorithm for Time Shared Grid Task Scheduling
A Yousif - Applied Artificial Intelligence, 2021 - Taylor & Francis
Grid computing is a computational paradigm that emerged to handle the increasing demand
for computational resources. Several metaheuristics methods have been applied to tackle …
for computational resources. Several metaheuristics methods have been applied to tackle …