This work presents the results of simulation of battery and hydrogen technologies for renewable energy management, load-leveling and peak-shaving in a single grid-connected house in Nottingham United Kingdom where three people live. The house has a PV installation of 4.5 kWp. A stochastic model which takes active occupancy into account is used for simulating the electricity demand. A 10-kWh lead-acid battery and a 1-kW fuel cell together, with a 600-l hydrogen (gas) storage tank at 15 bar (31.3 kWh) are used for these simulations for short (daily cycles) and mid-term (3-day cycles) storage, respectively. Energy balances on a representative summer and winter day for both storage technologies are presented, along with annual balances. The battery increases the local use of PV energy generated on-site by 171%, while the hydrogen increases it by 159%. According to the current feed-in tariff legislation in the UK, the increase of the local use of PV energy means an additional annual income of at least £112 and £102 for the battery and hydrogen storage, respectively.