Search
Search Results
-
Cloud-load forecasting via decomposition-aided attention recurrent neural network tuned by modified particle swarm optimization
Recent improvements in networking technologies have led to a significant shift towards distributed cloud-based services. However, adequate management...
-
Cloud Computing Load Forecasting by Using Bidirectional Long Short-Term Memory Neural Network
Cloud services play an increasingly significant role in daily life. The widespread integration of the Internet of Things, and online services has...
-
A cloud load forecasting model with nonlinear changes using whale optimization algorithm hybrid strategy
Cloud services with the property of elasticity are always bearing different loads over time. The efficiency of cloud management can be improved...
-
A systematic literature review on soft computing techniques in cloud load balancing network
Providing, an on-demand facility in the cloud network is one of the finest services for cloud users. To maintain this dynamic and foremost service, a...
-
Hybrid optimization enabled VM scaling based load distribution and optimal switching strategy in cloud data center
Cloud data centers provide incredible services to their customers ubiquitously based on demand and pay-per-use strategy. In virtualized data centers...
-
Short-Term Power Load Forecasting Method Based on Cloud Computing and Intelligent Algorithms
In recent years, with the widespread application of computer technology, smart power grid has developed rapidly. In order to ensure the safe and...
-
State-of-the-Art Load Balancing Algorithms for Mist-Fog-Cloud Assisted Paradigm: A Review and Future Directions
The rapid growth of IoT devices leads to increasing requests. These tremendous requests cannot be processed by IoT devices due to the computational...
-
Online Aggregation of Conformal Forecasting Systems
Abstract —The problem of online probabilistic time series forecasting is considered. Probabilistic forecasts are obtained as a result of the...
-
Design and Implementation of Virtual Power Plant System Based on Equipment-Level Power and Load Forecasting
In order to ensure the effective participation of virtual power plants in grid interaction under the novel power system. This paper design and...
-
Evaluating Machine Learning Models for Multimodal Probability-Based Energy Forecasting
The paper addresses the imperative requirement for precise forecasting of intermittent renewable energy sources, specifically wind and solar, to...
-
SMLHADC: Security Model for Load Harmonization and Anomaly Detection in Cloud
Cloud computing (CC) emerged as one of the important utility such as water and electricity bills, where the user has to pay for whatever quantity...
-
Advances in Deep Learning Techniques for Short-term Energy Load Forecasting Applications: A Review
Today, the majority of the leading power companies place a significant emphasis on forecasting the electricity load in the balance of power and...
-
Knowledge-Data Fusion Model for Multivariate Load Short-Term Forecasting of Integrated Energy System
The short-term forecasting of multiple loads is crucial for the optimization and scheduling of integrated energy system (IES). However, the load...
-
A Machine Learning Approach for Load Balancing in a Multi-cloud Environment
A multi-cloud environment makes use of two or more cloud computing services from different cloud vendors. A typical multi-cloud environment can...
-
Cloud-Based Demand-Responsive Transportation System Using Forecasting Model
Faced with the cost of local management of IT infrastructure, many transportation operators have decided to use Cloud Computing services via its...
-
Designing a demand forecasting model for human resources cloud data centres using fuzzy theory
Wireless networks have become increasingly important in the human resources industry, with cloud data centres playing a critical role in commercial...
-
Binning Based Data Driven Machine Learning Models for Solar Radiation Forecasting in India
Energy is the primary driving force in improvement of the human life cycle. All the activities for the betterment of human life are dependent on some...
-
A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms
With increasing demand for energy, the penetration of alternative sources such as renewable energy in power grids has increased. Solar energy is one...
-
Towards State of Health Forecasting of Lithium-Ion Batteries
The terms state of heath (SOH) estimation, SOH prediction, SOH forecasting, and remaining useful life (RUL) prediction are crucial to distinguish....
-
Energy-Efficient Forecasting of Temperature Data in Sensor Cloud System Using a Hybrid SVM-ANN Method
In a sensor cloud system, the sensors collect data and send it to the cloud system so that the end-users can access the data. When the frequency of...
