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ii Acknowledgments The authors wish to acknowledge the extensive contributions of the following people to this report. iii Preface Now is the time to begin planning for the integration of significant quantities of distributed renewable energy onto the electricity grid. Factors such as growing concern about climate change, adoption of state-level renewable portfolio standards and incentives, and...

Gwadar is essential to Pakistan’s financial stability. Being the third deep-water port in Pakistan, it plays a significant role trade between Gulf States, Africa, UAE, and CARs. The load shedding of 12–16 h most concerning issue due non-availability utility grid, which why Pakistan imports 70 MW electricity from Iran fulfill Gwadar’s needs. has renewable energy resources that can be utilized fo...

MOTIVATION In our previous approach, we proposed a hybrid method for protein secondary structure prediction called HYPROSP, which combined our proposed knowledge-based prediction algorithm PROSP and PSIPRED. The knowledge base constructed for PROSP contains small peptides together with their secondary structural information. The hybrid strategy of HYPROSP uses a global quantitative measure, mat...

This paper presents a comprehensive approach about energy resources management in buildings connected to the electricity grid and equipped with energy production and storage systems. The aim of the work is to find interesting configurations that favour energy self-consumption while minimizing the impact of the local production on the grid. Energy and economic criteria are proposed to evaluate t...

Electricity energy generation and its supply through electricity networks is mainly organized in a top-down, centralized manner. Energy consumption can be predicted quite accurately at a high level, and this forms the basis for pre-scheduling the production by large power plants. Only few actors are involved in the generation, trade, and transportation of electricity, but this is changing rapid...

Abstract Hybrid Renewable Energy System is a very good solution to the energy deficit encounter in developing countries. The paper presents optimal design of hybrid renewable system regarding technical aspect that Loss Power Supply Probability (LPSP), economic Cost Electricity (COE) and Net Present (NPC) environmental Total Greenhouse gases emission (TGE) aspects using multi-objective Particle ...

In the present study Artificial Neural Network (ANN) has been optimized using a hybrid algorithm of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The hybrid GA-PSO algorithm has been used to improve the estimation of electricity demand of the state of Tamil Nadu in India. The ANN-GA-PSO model uses gross domestic product (GSDP); electricity consumption per capita; income growth r...

Commonly considered strategies for reducing the environmental impact of light-duty transportation include using alternative fuels and improving vehicle fuel economy. We evaluate the air quality-related human health impacts of 10 such options, including the use of liquid biofuels, diesel, and compressed natural gas (CNG) in internal combustion engines; the use of electricity from a range of conv...

One of the leading power companies in Denmark, Elsam Kraft A/S, has proposed a vision of the Danish energy sector (end of 2004), with a working title ’’From petrol to REtrol’’ (originally ‘‘From benzin to VEnzin’’, vedvarende = renewable, in Danish). The vision points to changes in the energy sector from being based on combined production of electricity and heat to one based on combined product...