nowadays generation capacity in traditional grid depends on fossil fuels and contributes significantly to the increase of pollution emission. in deregulated grids in addition to using demand response programs (drps) to reducing the cost of electricity production, peak clipping and improve reliability use of green plants such as hydro plant, wind plant become widespread. in a smart grid, end use...

food security in the world that water shortages are faced is very important, especially in arid regions. effects of climate change on agricultural water requirement have doubled this importance. in this study, the risk of water demand has been assessed for a wide range of products under climate change. aogcm models have been used to simulate climate variables. the climate change scenarios of cl...

In the present world, energy is indispensable for maintaining the comfort level and living standard of the human. On the other hand, the energy crisis is a major problem in most of the developing countries like Bangladesh. A possible reason is that, the decreasing level of conventional energy sources and the lack of initiatives for introducing the alternative sources of energy. Moreover, the in...

Demand Side Management (DSM) is one of the most important aspects in future smart grids: towards electricity generation cost by minimizing the expensive thermal peak power plants. The DSM greatly affects the individual users’ cost as well as the per unit cost. The main objective of this paper is to develop a Generic Demand Side Management (G-DSM) model for residential users to reduce Peak-to-Av...

Driven by the rapidly changing markets conditions, organizations from the utility and energy industry sector have to cope with increasing demand for change. This demand for change does not only arise from external forces as legal regulations and emerging innovations but also originates from strategic objectives within the company. Thereto, organizations from the industry sector strive for a fle...

the paper presents an analysis of both energy intensity and energy demand for the italianindustrial sector. the aim of the paper is twofold: making a decomposition of energy intensity at the aggregate level and modeling energy demand at the firm level. the decomposition of energy intensity shows different patterns for the different sub-sectors in the period of interest. in the micro approach, p...

Long-term demand forecasting presents the first step in planning and developing future generation, transmission and distribution facilities. One of the primary tasks of an electric utility accurately predicts load demand requirements at all times, especially for long-term. Based on the outcome of such forecasts, utilities coordinate their resources to meet the forecasted demand using a least-co...