Lighting systems are one of the highest energy consumptions specifically in buildings. Thus, by designing energy efficient systems, it would contribute much to buildings energy savings. Therefore, this paper motivation is to review a number of lighting systems designs applied to many types of buildings. It is then so important to discover what methods and systems which have been proposed to save energy in buildings in term of lighting. By finding out what proposed systems are for different types of buildings, designers and respective researchers e.g., buildings engineers would find possibility and applicability of such lighting systems for certain types of buildings to achieve higher energy savings than some other systems when applied to the same types of buildings. Such a relation between reviewed lighting systems with types of buildings would be helpful for many researchers from different fields. There exist numerous factors that play an important role in achieving higher energy savings rate on which efficient energy lighting systems rely. This paper aims to review several types of lighting systems designs applied to different types of buildings. Additionally, performance(s) of lighting systems might vary depending on the design of the lighting system to achieve higher buildings' energy savings. In this review paper, several past studies that utilized Information and Communication Technology (ICT) from the perspective of energy Informatics for a smart lighting system that efficiently achieves energy savings have been considered. This paper has considered different types of lighting systems and types of buildings. Cited papers in this review paper are derived from six digital libraries which are: IEEE Xplore Digital Library, ScienceDirect, MDPI, Emerald Insight, ACM DL, and Taylor & Francis Online. INDEX TERMS Lighting systems, buildings energy savings, daylight systems, occupancy-based lighting systems, large scale buildings, sky view factor, rural buildings, ICT for energy informatics.

This paper presents an approach to solve the unit commitment problem using a newly developed Multiagent Evolutionary Programming incorporating Priority List optimisation technique (MAEP-PL). The objective of this study is to search for generation scheduling such that the total operating cost can be minimised when subjected to a variety of constraints, while at the same time reducing its computational time. The proposed technique assimilates the concepts of Priority Listing (PL), Multi-agent System (MAS) and Evolutionary Programming (EP) as its basis. In the proposed technique, deterministic PL technique is applied to produce a population of initial solutions. The search process is refined using heuristic EP-based algorithm with multi-agent approach to produce the final solution. The developed technique is tested on ten generating units test system for a 24-h scheduling period, and the results are compared with the standard Evolutionary Programming (EP), Evolutionary Programming with Priority Listing (EP-PL) and Multi-agent Evolutionary Programming (MAEP) optimisation techniques. From the obtained results and the comparative studies, it was found that the proposed MAEP-PL optimisation technique is able to solve the unit commitment problem where the total daily generation cost is effectively B H. Mokhlis minimised and the computation time is reduced as compared to other techniques.

In this paper, images' pixels are exploited to extract objects' edges. This paper has proposed a Pixel Intensity based Contrast Algorithm (PICA) for Image Edges Extraction (IEE). This paper highlights three contributions. Firstly, IEE process is fast and PICA has less computation time when processing different images' sizes. Secondly, IEE is simple and uses a 2×4 mask which is different from other masks where it doesn't require while-loop(s) during processing images. Instead, it has adopted an if-conditional procedure to reduce the code complexity and enhance computation time. That is, the reason why this design is faster than other designs and how it contributes to IEE will be explained. Thirdly, design and codes of IEE and its mask are available, made an open source, and in-detail presented and supported by an interactive file; it is simulated in a video motion design. One of the PICA's features and contributions is that PICA has adopted to use less while-loop(s) than traditional methods and that has contributed to the computation time and code complexity. Experiments have tested 526 samples with different images' conditions e.g., inclined, blurry, and complexbackground images to evaluate PICA's performance in terms of computation time, enhancement rate for processing a single image, accuracy, and code complexity.By comparing PICA to other research works, PICA consumes 5.7 mS to process a single image which is faster and has less code complexity by u×u. Results have shown that PICA can accurately detect edges under different images' conditions. Results have shown that PICA has enhanced computation time rate for processing a single image by 92.1% compared to other works. PICA has confirmed it is accurate and robust under different images' conditions. PICA can be used with several types of images e.g., medical images and useful for real-time applications.

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This paper highlights a number of recently published research studies during last five years in order to provide a summary related to latest trends of energy efficiency in the smart buildings technology. It reviews numerous technical methods applied to achieve a high level of Building Energy Efficiency (BEE). In this paper, methods applied to measure the BEE and to predict the energy-use have been considered and reviewed. Furthermore, some other methods discussed in articles which consider retrofitting of interior design of buildings have been taken. One of the most impacts that has been considered is the light control system because it directly affects the energy use. This paper has reviewed different types of techniques that save energy consumptions such as predictive techniques of energy use, Internet of Things (IoT) buildings, light control systems inside buildings, and Quick Response (QR) code based services used to notify occupants for energy-use. It has provided a simple comparison between different techniques used to retrofit the interior design of buildings due to its high importance in saving energy. The paper has also recommended suitability of methods taking into account the existing situation, design, limitations, and conditions of the building being studied.