Abstract—Climatic change is one of the driving forces behind a new wave of energy management systems being practiced in different parts of the world today. Power generation and Management in disconnected rural villages is challenging. The situation is even more challenging when landscape structures in such environment are irregular. This paper describes the implementation of two algorithms used in power generation and management of rural energy supplies: Location-based Solar Energy Potential Prediction Algorithm (LOSEPPA) and Intelligent Fuzzy-controlled Power Generation and Management Algorithm (IFPGMA). LOSEPPA takes as input, the geographic latitude of the location to compute the solar irradiance factor. IFPGMA intelligently manages the utilization of the generated solar energy. Geographic latitude plays an important role in the availability of sufficient solar radiation as well as the state of the atmosphere. Therefore, the value of solar irradiance factor serves as a guide to the state of the atmosphere in terms of degree of cloud cover, temperature, humidity and landscape structure; which determines the feasibility of the solar energy implementation. With the solar irradiance factor, solar panel can be mounted along specific angle of inclination to the sun. The implemented design is based on solar PV modules arranged in array, integrated with rechargeable batteries and converter models to drive solar energy generation for powering networking equipments. The proposed system was simulated using Homer energy software, C++ and MATLAB-Simulink. Result show that the more irregular the landscape is, the lower the solar irradiance factor. Solar irradiance factor value of 400 and above predicts well enough sunshine for solar PV implementation. Set point values for battery charging/discharging and the charge controller, maintains circuit voltage supplies at 130V maximum and 2KWh/day at $0.735/KWh with an initial investment cost of $3,090 for the solar implementation. Index Terms—Geographic latitude, battery charger, PV panel, voltage regulation. I. INTRODUCTION Disconnected rural communities are cut off from government economic transformation agenda as a result of not being connected to the national grid. Many remote Manuscript received October 17, 2012; revise November 27, 2012. This work was supported partly by Centre for Graduate Studies Universiti Malaysia Sarawak (UNIMAS). Onabajo Olawale Olusegun is with the Faculty of Computer Science and Information Technology, (UNIMAS), Nigeria. (e-mail: victorious_gem@yahoo.com). Tan Chong Eng is with the Department of Computer Systems and Communication Technology, UNIMAS, Kota Samarahan, Malaysia. (e- mail: cetan@ieee.org). residences, businesses and communities located in the sparsely populated and rugged terrains; faces serious challenge in accessing uninterruptible wireless broadband as a result of insufficient electricity supply. Most of the currently available energy management systems in domestic environment are concerned with real-time energy consumption monitoring, and display of statistical and real time data of energy consumption [1]. An alternative energy supply system in the form of solar electricity, supported by indigenous communities has been widely accepted as a provisional escape route for the rural folks from abject poverty caused by digital divide. The stand-alone photo- voltaic energy system is a well tested energy alternative in an environment where grid electricity is completely absent. However, proper functioning of an independent energy source like the stand-alone solar energy system requires storage to meet the energy demand during period of low solar irradiation and night time. To put the acquired energy into proper use, effective and efficient management scheme must be put in place to prevent wastage. Focus of this paper is on the development of an intelligent system for efficient management of energy consumption of networking equipments in a rural setting. The motivation is to develop resourceful and intelligent power management system that can manage energy consumption of networking equipments effectively to prevent wastage and improve user access to online participations. The entire work is in two stages, and two algorithms were developed for this purpose: (i) Location-based Solar Energy Potential Prediction Algorithm (LOSEPPA); and (ii) Intelligent Fuzzy- controlled Power Generation and Management Algorithm (IFPGMA). The proposed system identify solar potential of a location, generate and actively manages energy usage in such environment in real time and ensure power consumption to idle terminals are minimize after a given time of idleness. The algorithm uses fuzzy logic approach to monitor energy consumption at appliances and device level. LOSEPPA takes as input the geographic latitude of the location, and compute the solar irradiance factor of the landscape through gradient and aspect estimation on per kernel basis. The solar irradiance factor is a reflection of the solar potential of the landscape. IFPGMA applies fuzzy logic approach in the intelligent control of power to PC terminals and devices. II. RELATED WORK Despite the fact that energy reclamation mechanisms can be adopted to recharge batteries through solar panels, Onabajo Olawale Olusegun and Chong Eng Tan Lecture Notes on Software Engineering, Vol. 1, No. 1, February 2013 89 Location-Based Intelligent Power Generation and Management Algorithms for Physically Challenging Rural Areas DOI: 10.7763/LNSE.2013.V1.20