Recent economic growth and development have considerably raised energy consumption over the globe. Electric load prediction approaches become essential for effective planning, decision-making, contract evaluation of power systems. In order to achieve forecasting outcomes with minimum computation time, this study develops an improved whale optimization deep learning enabled (IWO-DLELP) scheme st...

Title of thesis: SCHEDULING IN ENERGY HARVESTING SYSTEMS WITH HYBRID ENERGY STORAGE Khurram Shahzad, Master of Science, 2013 Directed by: Professor Şennur Ulukuş Department of Electrical and Computer Engineering In wireless networks, efficient energy storage and utilization plays a vital role, resulting in a prolonged lifetime and enhanced throughput. This factor becomes even more important in ...

The present work was started in the framework of the ENEA contribution to the Nuclear Energy Agency (NEA) Task Force on Physics Aspects of Trimsmutation. Taking into account the present interest in the hybrid systems technology. the paper was completed adding the initial developments concerning the systems devoted to flssile material production, together with the more recent developments regard...

This paper presents a hybrid neural network approach to predict wind speed automatically in renewable energy systems. Wind energy is one of the renewable energy systems with lowest cost of production of electricity with largest resources available. By the reason of the fluctuation and volatility in wind, the wind speed prediction provides the challenges in the stability of renewable energy syst...

In this paper, we propose a new hybrid evolutionary algorithm based on Particle Swarm Optimization (PSO) and on Simulated Annealing (SA) for reducing memory energy consumption in embedded systems. Our hybrid algorithm outperforms the Tabu Search (TS) approach. In fact, nearly from 76% up to 98% less energy consumption is recorded.

switching supervisory is the most important section of a feedback control process inmimo hybrid systems. by choosing a non-compatible controller, system may go tounstable mode or high overshoot response. in this paper, a new method of switchingfor selecting mbc controllers is discussed. results of the simulation show the mimo(2-in 2-out) linear hybrid system can be switched stable and low overs...

This paper focuses on the integration of hybrid renewable energy resources available in remote isolated islands of Sundarban-24 Parganas-South of Eastern part of India to National Grid of conventional power supply to give a Smart-Grid scenario. Before grid-integration, feasibility of optimization of hybrid renewable energy system is monitored through an Intelligent Controller proposed to be ins...