The emerging leading role of green energy in our society pushes the investigation new economic and technological solutions. Green energies smart communities increase efficiency with use digital solutions for benefits inhabitants companies. paper focuses on development a methodology management, combining photovoltaics storage systems, considering as main case study multi-story building characterized by high density households, used to generate data which allow feasibility foresights. physical...

Nowadays plant monitoring and control of renewable energy sources can take advantage the use unmanned aerial technologies. This manuscript aims to develop an image post‐processing tool for remote images able help operation maintenance operators in photovoltaic (PV) defects detection using light vehicles (UAVs). In particular, PV systems deployed field last ten years show often critical behaviour with a range failures compromise performance yield power plants, thus they greatly benefit such...

Fluorescent penetrant inspection (FPI) is a well-assessed non-destructive test method used in manufacturing for detecting cracks and other flaws of the product under test. This critical phase mechanical aerospace industrial sector. The purpose this work was to present implementation an automated system, developing vision-based expert system automate FPI process line. aim identify defectiveness status some parts by means images. paper will present, compare different machine learning...

Accurate photovoltaic (PV) prediction has a very positive effect on many problems that power grids can face when there is high penetration of variable energy sources. This problem be addressed with computational intelligence algorithms such as neural networks and Evolutionary Optimization. The purpose this article to analyze three different hybridizations between physical models artificial networks: the first hybridization combines output five-parameter model module in which parameters are...

The Mediterranean region is a hot spot for climate change, with transportation accounting quarter of global CO2 emissions. To meet the 2030 Sustainable Development Goals (SDGs), sustainable urban transport network needed to cut carbon emissions and improve air quality. This study aims investigate electrification public in both developed underdeveloped countries by examining existing two modes (buses trams) across region. suggests that could result significant additional demand more than 200...

The proper monitoring and operation maintenance (O&M) of solar photovoltaic (PV) systems are an integral part the service tasks required to ensure long-term reliability prolonged lifetime installation. In recent years, with end feed-in-tariff legislation, PV stakeholders operators shifted their focus from design construction utility-scale grid-connected plants development more efficient O&M practices. Service technical personnel have been asked investigate resolve unexpected failures...

Due to the growing importance of electric vehicles, charging stations (CS) deployment is becoming an important issue in many cities. The aim this paper introduce a novel evolutionary-based approach for solving CS problem. This study investigates aspects formulation approach, such as design variables selection and definition feasibility function, improve both effectiveness flexibility. In particular, latter key factor compared other state-of-the-art approaches: fact, it can be used with most...

The penetration of nonprogrammable renewable energy sources, namely wind and solar technology, has greatly increased in the last decades nowadays shift toward green sources represents a priority worldwide. high variability primary source challenges grid operators ensuring stability reliability electric grid. Machine learning algorithms, particular artificial neural networks, are one most reliable methods for photovoltaic (PV) production forecast. This article proposes new ensemble method...

In this paper, the authors propose an UAV-based automatic inspection method for photovoltaic plants analyzing and testing a vision-based guidance developed to purpose. The maintenance of PV represents key aspect profitability in energy production autonomous such systems is promising technology especially large utility-scale where manned techniques have significant limitations terms time, cost performance. light, ad hoc flight control solution investigated exploit available UAV sensor data...

The exponential growth of population and industries has brought about an increase in energy consumption, causing severe climatic environmental problems. Therefore, the move towards green renewable is being ever more intensified. This study aims at estimating rooftop solar power production for Tehran, capital city Iran, using a Geospatial Information System (GIS) to assess big data building parcels. Tehran faced with air pollution due its excessive fossil fuel usage, electricity demand...

Nowadays with the increase of high-rise buildings, emergency evacuation is an indispensable part urban environment management. Due to various disaster incidents occurred in indoor environments, research has concentrated on ways deal different difficulties evacuation. Although global navigation satellite systems (GNSSs) such as positioning system (GPS) come handy outdoor spaces, they are not much use enclosed places, where signals cannot penetrate easily. Therefore, other approaches must be...

The optimization of electrical machines and energy-harvesting devices has been one the hot topics research in recent years. In this context, advanced computational intelligence algorithms are suitable design tools, since they able to optimize complex systems with a large number constraints free parameters. This paper presents social network (SNO): new population-based algorithm developed guarantee an effective faster exploration solution domain respect traditional techniques. proposed...

An accurate forecast of the exploitable energy from Renewable Energy Sources is extremely important for stability issues electric grid and reliability bidding markets. This paper presents a comparison among different forecasting methods photovoltaic output power introducing new method that mixes some peculiarities others: Physical Hybrid Artificial Neural Network five parameters model estimated by Social Optimization. In particular, day-ahead forecasts evaluated against real data measured...

Photovoltaic (PV) plant monitoring and maintenance has become an often critical activity: the high efficiency requirements of new European policy have been in contrast with many low-quality plants installed several countries over past few years. In actual industrial practices, heterogeneous information is produced, they are managed a fragmented way. Several software tools developed for obtaining reliable valuable from PV plant’s raw data. With aim gathering managing all these data more...

This paper presents the Social Network Optimization, a new population based algorithm inspired by recent explosion of social networks and their capability to drive people’s decision making process in everyday life. Early experimental studies have already proven SNO effectiveness optimized design planar conformal antennas. Here this novel optimization procedure is described detail, tested compared with other traditional evolutionary algorithms, finally used for different microwave circuits. ©...

Inspection of photovoltaic power plants is a crucial aspect for improving the performances and increasing their profitability. The reduced O&M budget pushes market to more effective inspection procedures. In this framework, Unmanned Aerial Vehicles have been proved be very amount time required higher quality obtained information with respect traditional inspections.Furthermore UAVs application becomes attractive if combined artificial intelligence computational techniques fast analysis large...

Evolutionary algorithms can be successfully exploited for carrying on an effective design of beam-scanning passive reflectarrays, even if the problem is highly non-linear and multimodal. In this article, Social Network Optimization (SNO) algorithm has been used assessing procedure a reflectarray (RA). For exploiting at most optimization capabilities SNO, entire environment deeply analyzed in all its parts. The performance SNO optimized RA have assessed through comparison with other well...

Photovoltaic (PV) plant monitoring is recently representing an important field in the energy market, due to large diffusion of PV plants, often built with low technical standards past decade and lack accuracy O&M activities after first 5-year life plant. In this paper, authors proposed expert system that, based on image integration obtained by means Unmanned Aerial Vehicles (UAVs), able identify some defects modules analyze from economical point impact these defects.

Wireless Sensor Networks (WSN) have been widely adopted for years, but their role is growing significantly currently with the increase of importance Internet Things paradigm. Moreover, since computational capability small-sized devices also increasing, WSN are now capable performing relevant operations. An optimal scheduling these in-network processes can affect both total time and energy requirements. Evolutionary optimization techniques address this problem successfully due to manage...

This paper proposes an energy management system based on Artificial Neural Network (ANN) to be integrated with the standard ISO 50001 and aims describe definition enhancement of baselines by means artificial intelligence techniques applied tested real electrical absorption data auxiliary units different thermal power plants in Italy. Power plant optimized operations are important both for cost performance reasons related effects environment next future transition scenario. The improvement...

This paper aims to optimize the design of a novel antenna for aerospace applications be integrated on an experimental rocket that has been designed in advanced research student program. In order EM performance such system optimization algorithm called SNO, Social Network Optimization, developed and tested find best configuration assure effectiveness overall design. The explosion Internet diffusion last years is having direct impact different fields as computer science, economy, sociology...

The aim of this paper is to compare the optimization capability two algorithm. first one a traditional algorithm, Particle Swarm Optimization (PSO) and other recently developed Social Network Optimization. To make comparison between algorithms, planar reflectarray here used as complex, non-linear electromagnetic benchmark problem.

This work proposes a methodology for the optimal training of rule-based management strategies, to be directly implemented in industrial controller hybrid off-grid microgrids. The parameters defining control rules are optimally tuned resorting different evolutionary algorithms, based on expected operating conditions. performance resulting heuristics is compared with conventional approaches scheduling, including Mixed Integer Linear Programming (MILP) optimization, direct scheduling and...